{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:46:55Z","timestamp":1765039615506,"version":"3.37.3"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T00:00:00Z","timestamp":1660348800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T00:00:00Z","timestamp":1660348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s00371-022-02614-y","type":"journal-article","created":{"date-parts":[[2022,8,13]],"date-time":"2022-08-13T04:02:36Z","timestamp":1660363356000},"page":"4639-4656","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Blind image quality assessment by simulating the visual cortex"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4505-7927","authenticated-orcid":false,"given":"Rongtai","family":"Cai","sequence":"first","affiliation":[]},{"given":"Ming","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,13]]},"reference":[{"issue":"1","key":"2614_CR1","doi-asserted-by":"publisher","first-page":"156","DOI":"10.2200\/S00010ED1V01Y200508IVM003","volume":"2","author":"Z Wang","year":"2006","unstructured":"Wang, Z., Bovik, A.C.: Modern image quality assessment. Synth. Lectures Image Video Multimedia Process. 2(1), 156 (2006). https:\/\/doi.org\/10.2200\/S00010ED1V01Y200508IVM003","journal-title":"Synth. Lectures Image Video Multimedia Process."},{"key":"2614_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TECHPOS.2009.5412098","volume":"2009","author":"KH Thung","year":"2009","unstructured":"Thung, K.H., Raveendran, P.: A survey of image quality measures. Int. Conf. Tech. Postgraduates (TECHPOS) 2009, 1\u20134 (2009). https:\/\/doi.org\/10.1109\/TECHPOS.2009.5412098","journal-title":"Int. Conf. Tech. Postgraduates (TECHPOS)"},{"key":"2614_CR3","doi-asserted-by":"publisher","unstructured":"Ruderman, D.\u00a0L.:The statistics of natural images. Netw. Comput. Neural Syst. 5(4), 517\u2013548 (1994). https:\/\/doi.org\/10.1088\/0954-898X_5_4_006","DOI":"10.1088\/0954-898X_5_4_006"},{"issue":"5","key":"2614_CR4","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/LSP.2010.2043888","volume":"17","author":"AK Moorthy","year":"2010","unstructured":"Moorthy, A.K., Bovik, A.C.: A two-step framework for constructing blind image quality indices. IEEE Signal Process. Lett. 17(5), 513\u2013516 (2010). https:\/\/doi.org\/10.1109\/LSP.2010.2043888","journal-title":"IEEE Signal Process. Lett."},{"issue":"12","key":"2614_CR5","doi-asserted-by":"publisher","first-page":"3350","DOI":"10.1109\/TIP.2011.2147325","volume":"20","author":"AK Moorthy","year":"2011","unstructured":"Moorthy, A.K., Bovik, A.C.: Blind image quality assessment: from natural scene statistics to perceptual quality. IEEE Trans. Image Process. 20(12), 3350\u20133364 (2011). https:\/\/doi.org\/10.1109\/TIP.2011.2147325","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"2614_CR6","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012). https:\/\/doi.org\/10.1109\/TIP.2012.2214050","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"2614_CR7","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.1109\/TMM.2019.2900941","volume":"21","author":"L Liu","year":"2019","unstructured":"Liu, L., Wang, T., Huang, H.: Pre-attention and spatial dependency driven no-reference image quality assessment. IEEE Trans. Multimedia 21(9), 2305\u20132318 (2019). https:\/\/doi.org\/10.1109\/TMM.2019.2900941","journal-title":"IEEE Trans. Multimedia"},{"issue":"10","key":"2614_CR8","doi-asserted-by":"publisher","first-page":"3218","DOI":"10.1109\/TIP.2015.2439035","volume":"24","author":"K Gu","year":"2015","unstructured":"Gu, K., Zhai, G., Lin, W., Yang, X., Zhang, W.: No-reference image sharpness assessment in autoregressive parameter space. IEEE Trans. Image Process. 24(10), 3218\u201331 (2015). https:\/\/doi.org\/10.1109\/TIP.2015.2439035","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"2614_CR9","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1007\/s00371-017-1460-z","volume":"2934","author":"P Joshi","year":"2018","unstructured":"Joshi, P., Prakash, S., Rawat, S.: Continuous wavelet transform-based no-reference quality assessment of deblocked images. Vis. Comput. 2934(12), 1739\u20131748 (2018). https:\/\/doi.org\/10.1007\/s00371-017-1460-z","journal-title":"Vis. Comput."},{"key":"2614_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02340-x","author":"J Ji","year":"2022","unstructured":"Ji, J., Xiang, K., Wang, X.: Scvs: blind image quality assessment based on spatial correlation and visual saliency. Vis. Comput. (2022). https:\/\/doi.org\/10.1007\/s00371-021-02340-x","journal-title":"Vis. Comput."},{"key":"2614_CR11","doi-asserted-by":"publisher","unstructured":"Mittal, A., Soundararajan, R., Bovik, A.C.: Making a \u201ccompletely blind\u201d image quality analyzer. IEEE Signal Process. Lett. 20(3), 209\u2013212 (2013). https:\/\/doi.org\/10.1109\/LSP.2012.2227726","DOI":"10.1109\/LSP.2012.2227726"},{"issue":"8","key":"2614_CR12","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TIP.2015.2426416","volume":"24","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Zhang, L., Bovik, A.C.: A feature-enriched completely blind image quality evaluator. IEEE Trans. Image Process. 24(8), 2579\u20132591 (2015). https:\/\/doi.org\/10.1109\/TIP.2015.2426416","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"2614_CR13","doi-asserted-by":"publisher","first-page":"3339","DOI":"10.1109\/TIP.2012.2191563","volume":"21","author":"MA Saad","year":"2012","unstructured":"Saad, M.A., Bovik, A.C., Charrier, C.: Blind image quality assessment: a natural scene statistics approach in the dct domain. IEEE Trans. Image Process. 21(8), 3339\u20133352 (2012). https:\/\/doi.org\/10.1109\/TIP.2012.2191563","journal-title":"IEEE Trans. Image Process."},{"key":"2614_CR14","doi-asserted-by":"publisher","unstructured":"Nizami, I.\u00a0F., Rehman, M.\u00a0U., Majid, M., Anwar, S.\u00a0M.: Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform. Multimedia Tools Appl. 79(2), (2020). https:\/\/doi.org\/10.1007\/s11042-020-09229-2","DOI":"10.1007\/s11042-020-09229-2"},{"key":"2614_CR15","doi-asserted-by":"publisher","unstructured":"Gupta, P., Moorthy, A.\u00a0K., Soundararajan, R., Bovik,A.\u00a0C.: Generalized gaussian scale mixtures: A model for wavelet coefficients of natural images. Signal Process. Image Commun. (2018) S0923596518303710 https:\/\/doi.org\/10.1016\/j.image.2018.05.009","DOI":"10.1016\/j.image.2018.05.009"},{"issue":"5","key":"2614_CR16","doi-asserted-by":"publisher","first-page":"116064","DOI":"10.1016\/j.image.2020.116064","volume":"91","author":"C Li","year":"2021","unstructured":"Li, C., Guan, T., Zheng, Y., Zhong, X., Bovik, A.: Blind image quality assessment in the contourlet domain. Signal Process. Image Commun. 91(5), 116064 (2021). https:\/\/doi.org\/10.1016\/j.image.2020.116064","journal-title":"Signal Process. Image Commun."},{"key":"2614_CR17","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1109\/CVPR.2014.224","volume":"2014","author":"L Kang","year":"2014","unstructured":"Kang, L., Ye, P., Li, Y., Doermann, D.: Convolutional neural networks for no-reference image quality assessment. IEEE Conf. Comput. Vis. Pattern Recog. 2014, 1733\u20131740 (2014). https:\/\/doi.org\/10.1109\/CVPR.2014.224","journal-title":"IEEE Conf. Comput. Vis. Pattern Recog."},{"issue":"1","key":"2614_CR18","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1109\/TNNLS.2018.2829819","volume":"30","author":"J Kim","year":"2019","unstructured":"Kim, J., Nguyen, A.-D., Lee, S.: Deep cnn-based blind image quality predictor. IEEE Trans. Neural Netw. Learn. Syst. 30(1), 11\u201324 (2019). https:\/\/doi.org\/10.1109\/TNNLS.2018.2829819","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"2614_CR19","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TCSVT.2018.2886771","volume":"30","author":"W Zhang","year":"2020","unstructured":"Zhang, W., Ma, K., Yan, J., Deng, D., Wang, Z.: Blind image quality assessment using a deep bilinear convolutional neural network. IEEE Trans. Circuits Syst. Video Technol. 30(1), 36\u201347 (2020). https:\/\/doi.org\/10.1109\/TCSVT.2018.2886771","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2614_CR20","doi-asserted-by":"publisher","first-page":"14131","DOI":"10.1109\/CVPR42600.2020.01415","volume":"2020","author":"H Zhu","year":"2020","unstructured":"Zhu, H., Li, L., Wu, J., Dong, W., Shi, G.: Metaiqa: Deep meta-learning for no-reference image quality assessment. IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR) 2020, 14131\u201314140 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.01415","journal-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR)"},{"key":"2614_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ICME46284.2020.9102895","volume":"2020","author":"J Ma","year":"2020","unstructured":"Ma, J., Wu, J., Li, L., Dong, W., Xie, X.: Active inference of gan for no-reference image quality assessment. IEEE Int. Conf. Multimedia Expo (ICME) 2020, 1\u20136 (2020). https:\/\/doi.org\/10.1109\/ICME46284.2020.9102895","journal-title":"IEEE Int. Conf. Multimedia Expo (ICME)"},{"key":"2614_CR22","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2016.02.043","volume":"351","author":"J Wu","year":"2016","unstructured":"Wu, J., Lin, W., Shi, G., Li, L., Fang, Y.: Orientation selectivity based visual pattern for reduced-reference image quality assessment. Inf. Sci. 351, 18\u201329 (2016). https:\/\/doi.org\/10.1016\/j.ins.2016.02.043","journal-title":"Inf. Sci."},{"key":"2614_CR23","doi-asserted-by":"publisher","unstructured":"Wu, J., Zeng, J., Dong, W., Shi, G., Lin, W.: Blind image quality assessment with hierarchy: Degradation from local structure to deep semantics. J. Vis. Commun. Image Rep. 58, 353\u2013362 (2019). https:\/\/doi.org\/10.1016\/j.jvcir.2018.12.005","DOI":"10.1016\/j.jvcir.2018.12.005"},{"issue":"1","key":"2614_CR24","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2014.2373812","volume":"17","author":"K Gu","year":"2015","unstructured":"Gu, K., Zhai, G., Yang, X., Zhang, W.: Using free energy principle for blind image quality assessment. IEEE Trans. Multimedia 17(1), 50\u201363 (2015). https:\/\/doi.org\/10.1109\/TMM.2014.2373812","journal-title":"IEEE Trans. Multimedia"},{"issue":"1","key":"2614_CR25","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1113\/jphysiol.1973.sp010381","volume":"235","author":"Akimichi Kaneko","year":"1973","unstructured":"Kaneko, Akimichi: Receptive field organization of bipolar and amacrine cells in the goldfish retina. J. Physiol. 235(1), 133\u201353 (1973). https:\/\/doi.org\/10.1113\/jphysiol.1973.sp010381","journal-title":"J. Physiol."},{"issue":"14","key":"2614_CR26","doi-asserted-by":"publisher","first-page":"1801","DOI":"10.1016\/S0042-6989(00)00039-0","volume":"40","author":"D Dacey","year":"2000","unstructured":"Dacey, D., Packer, O.S., Diller, L., Brainard, D., Lee, B.: Center surround receptive field structure of cone bipolar cells in primate retina. Vis. Res. 40(14), 1801\u20131811 (2000). https:\/\/doi.org\/10.1016\/S0042-6989(00)00039-0","journal-title":"Vis. Res."},{"issue":"3","key":"2614_CR27","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1113\/jphysiol.1959.sp006308","volume":"148","author":"DH Hubel","year":"1959","unstructured":"Hubel, D.H., Wiesel, T.N.: Receptive fields of single neurones in the cat\u2019s striate cortex. J. Physiol. 148(3), 574\u2013591 (1959). https:\/\/doi.org\/10.1113\/jphysiol.1959.sp006308","journal-title":"J. Physiol."},{"issue":"1","key":"2614_CR28","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1113\/jphysiol.1968.sp008455","volume":"195","author":"DH Hubel","year":"1968","unstructured":"Hubel, D.H., Wiesel, T.N.: Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195(1), 215\u2013243 (1968). https:\/\/doi.org\/10.1113\/jphysiol.1968.sp008455","journal-title":"J. Physiol."},{"issue":"5","key":"2614_CR29","doi-asserted-by":"publisher","first-page":"1712","DOI":"10.1523\/jneurosci.08-05-01712.1988","volume":"8","author":"D Ts\u2019O","year":"1988","unstructured":"Ts\u2019O, D., Gilbert, C.: The organization of chromatic and spatial interactions in the primate striate cortex. J. Neurosci. 8(5), 1712\u20131727 (1988). https:\/\/doi.org\/10.1523\/jneurosci.08-05-01712.1988","journal-title":"J. Neurosci."},{"issue":"2","key":"2614_CR30","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1523\/JNEUROSCI.10-02-00649.1990","volume":"10","author":"P Lennie","year":"1990","unstructured":"Lennie, P., Krauskopf, J., Sclar, G.: Chromatic mechanisms in striate cortex of macaque. J. Neurosci. 10(2), 649\u201369 (1990). https:\/\/doi.org\/10.1523\/JNEUROSCI.10-02-00649.1990","journal-title":"J. Neurosci."},{"key":"2614_CR31","doi-asserted-by":"publisher","unstructured":"David\u00a0Berga, X.\u00a0O. V. L. X. M.\u00a0P., Xose R.: Fdez-Vidal, Psychophysical evaluation of individual low-level feature influences on visual attention. Vis. Res. 154, 60\u201379 (2019). https:\/\/doi.org\/10.1016\/j.visres.2018.10.006","DOI":"10.1016\/j.visres.2018.10.006"},{"key":"2614_CR32","doi-asserted-by":"publisher","unstructured":"Laurent\u00a0Itti, C.\u00a0K., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11), 1254\u20131259 (1998). https:\/\/doi.org\/10.1109\/34.730558","DOI":"10.1109\/34.730558"},{"key":"2614_CR33","doi-asserted-by":"crossref","unstructured":"Berman, M.G., Hout, M.C., Kardan, O., Hunter, M.R., Yourganov, G., Henderson, J.M., Hanayik, T., Karimi, H., Jonides, J.: The perception of naturalness correlates with low-level visual features of environmental scenes. PloS One 9(12),(2014). https:\/\/doi.org\/10.1371\/journal.pone.0114572","DOI":"10.1371\/journal.pone.0114572"},{"key":"2614_CR34","doi-asserted-by":"publisher","unstructured":"Kardan, O., Demiralp, E., Hout, M.\u00a0C., Hunter, M.\u00a0R., Karimi, H., Hanayik, T., Yourganov, G., Jonides, J., Berman, M.\u00a0G.: Is the preference of natural versus man-made scenes driven by bottom-up processing of the visual features of nature?. Front. Psychol. 6 (2015). https:\/\/doi.org\/10.3389\/fpsyg.2015.00471","DOI":"10.3389\/fpsyg.2015.00471"},{"issue":"12","key":"2614_CR35","doi-asserted-by":"publisher","first-page":"1549","DOI":"10.1016\/0042-6989(83)90168-2","volume":"23","author":"J Valeton","year":"1983","unstructured":"Valeton, J.: Photoreceptor light adaptation models: an evaluation. Vis. Res. 23(12), 1549\u20131554 (1983). https:\/\/doi.org\/10.1016\/0042-6989(83)90168-2","journal-title":"Vis. Res."},{"key":"2614_CR36","doi-asserted-by":"publisher","unstructured":"Beaudot, H.\u00a0A.: William, Sensory coding in the vertebrate retina: towards an adaptive control of visual sensitivity. Netw. Comput. Neural Syst. 7(2), 317\u2013323 (1996). https:\/\/doi.org\/10.1088\/0954-898X_7_2_012","DOI":"10.1088\/0954-898X_7_2_012"},{"issue":"1","key":"2614_CR37","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1511\/2003.11.28","volume":"91","author":"Helga Kolb","year":"2003","unstructured":"Kolb, Helga: How the retina works. Am. Sci. 91(1), 28\u201335 (2003)","journal-title":"Am. Sci."},{"key":"2614_CR38","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.bica.2016.09.005","volume":"18","author":"T Rajalakshmi","year":"2016","unstructured":"Rajalakshmi, T., Prince, S.: Retinal model-based visual perception: applied for medical image processing. Biol. Insp. Cognit. Arch. 18, 95\u2013104 (2016). https:\/\/doi.org\/10.1016\/j.bica.2016.09.005","journal-title":"Biol. Insp. Cognit. Arch."},{"issue":"7","key":"2614_CR39","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1016\/j.cviu.2010.01.011","volume":"114","author":"A Benoit","year":"2010","unstructured":"Benoit, A., Caplier, A., Durette, B., Herault, J.: Using human visual system modeling for bio-inspired low level image processing. Comput. Vis. Image Understand. 114(7), 758\u2013773 (2010). https:\/\/doi.org\/10.1016\/j.cviu.2010.01.011","journal-title":"Comput. Vis. Image Understand."},{"issue":"1","key":"2614_CR40","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1113\/jphysiol.1962.sp006837","volume":"160","author":"DH Hubel","year":"1962","unstructured":"Hubel, D.H., Wiesel, T.N.: Receptive fields, binocular interaction and functional architecture in the cat\u2019s visual cortex. J. Physiol. 160(1), 106\u2013154 (1962). https:\/\/doi.org\/10.1113\/jphysiol.1962.sp006837","journal-title":"J. Physiol."},{"issue":"12","key":"2614_CR41","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.1364\/JOSAA.4.002379","volume":"4","author":"DJ Field","year":"1987","unstructured":"Field, D.J.: Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Am. A 4(12), 2379\u20132394 (1987). https:\/\/doi.org\/10.1364\/JOSAA.4.002379","journal-title":"J. Opt. Soc. Am. A"},{"issue":"4","key":"2614_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1117\/1.JEI.22.4.043025","volume":"22","author":"Y Zhang","year":"2013","unstructured":"Zhang, Y., Chandler, D.M.: No-reference image quality assessment based on log-derivative statistics of natural scenes. J. Electron. Imag. 22(4), 1\u201323 (2013). https:\/\/doi.org\/10.1117\/1.JEI.22.4.043025","journal-title":"J. Electron. Imag."},{"issue":"1218","key":"2614_CR43","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.3758\/s13414-020-02216-7","volume":"83","author":"RW Pridmore","year":"2021","unstructured":"Pridmore, R.W.: A new transformation of cone responses to opponent color responses. Attention Percep. Psychophys. 83(1218), 1797\u20131803 (2021). https:\/\/doi.org\/10.3758\/s13414-020-02216-7","journal-title":"Attention Percep. Psychophys."},{"issue":"8","key":"2614_CR44","doi-asserted-by":"publisher","first-page":"2036","DOI":"10.1364\/JOSAA.15.002036","volume":"15","author":"DL Ruderman","year":"1998","unstructured":"Ruderman, D.L., Cronin, T.W., Chiao, C.-C.: Statistics of cone responses to natural images: implications for visual coding. J. Opt. Soc. Am. A 15(8), 2036\u20132045 (1998). https:\/\/doi.org\/10.1364\/JOSAA.15.002036","journal-title":"J. Opt. Soc. Am. A"},{"key":"2614_CR45","doi-asserted-by":"publisher","unstructured":"Lasmar,N.-E., Stitou, Y., Berthoumieu, Y.: Multiscale skewed heavy tailed model for texture analysis. In: 2009 16th IEEE International Conference on Image Processing (ICIP), pp. 2281\u20132284 (2009). https:\/\/doi.org\/10.1109\/ICIP.2009.5414404","DOI":"10.1109\/ICIP.2009.5414404"},{"issue":"11","key":"2614_CR46","doi-asserted-by":"publisher","first-page":"3440","DOI":"10.1109\/TIP.2006.881959","volume":"15","author":"H Sheikh","year":"2006","unstructured":"Sheikh, H., Sabir, M., Bovik, A.: A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15(11), 3440\u20133451 (2006). https:\/\/doi.org\/10.1109\/TIP.2006.881959","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"2614_CR47","doi-asserted-by":"publisher","first-page":"011006","DOI":"10.1117\/1.3267105","volume":"19","author":"LDM Chandler","year":"2010","unstructured":"Chandler, L.D.M.: Most apparent distortion: full-reference image quality assessment and the role of strategy. J. Electronic Imag. 19(1), 011006 (2010). https:\/\/doi.org\/10.1117\/1.3267105","journal-title":"J. Electronic Imag."},{"key":"2614_CR48","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.image.2014.10.009","volume":"30","author":"N Ponomarenko","year":"2015","unstructured":"Ponomarenko, N., Jin, L., Ieremeiew, O., et al.: Image database tid2013: peculiarities, results and perspectives. Signal Process. Image Commun. 30, 57\u201377 (2015). https:\/\/doi.org\/10.1016\/j.image.2014.10.009","journal-title":"Signal Process. Image Commun."},{"issue":"1","key":"2614_CR49","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1109\/TIP.2015.2500021","volume":"25","author":"D Ghadiyaram","year":"2016","unstructured":"Ghadiyaram, D., Bovik, A.C.: Massive online crowdsourced study of subjective and objective picture quality. IEEE Trans. Image Process. 25(1), 372\u2013387 (2016). https:\/\/doi.org\/10.1109\/TIP.2015.2500021","journal-title":"IEEE Trans. Image Process."},{"key":"2614_CR50","doi-asserted-by":"publisher","first-page":"4041","DOI":"10.1109\/TIP.2020.2967829","volume":"29","author":"V Hosu","year":"2020","unstructured":"Hosu, V., Lin, H., Sziranyi, T., Saupe, D.: Koniq-10k: an ecologically valid database for deep learning of blind image quality assessment. IEEE Trans. Image Process. 29, 4041\u20134056 (2020). https:\/\/doi.org\/10.1109\/TIP.2020.2967829","journal-title":"IEEE Trans. Image Process."},{"key":"2614_CR51","doi-asserted-by":"publisher","first-page":"3674","DOI":"10.1109\/CVPR42600.2020.00373","volume":"2020","author":"Y Fang","year":"2020","unstructured":"Fang, Y., Zhu, H., Zeng, Y., Ma, K., Wang, Z.: Perceptual quality assessment of smartphone photography. IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR) 2020, 3674\u20133683 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00373","journal-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR)"},{"key":"2614_CR52","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.neucom.2018.11.015","volume":"331","author":"Q Li","year":"2019","unstructured":"Li, Q., Lin, W., Gu, K., Zhang, Y., Fang, Y.: Blind image quality assessment based on joint log-contrast statistics. Neurocomputing 331, 189\u2013198 (2019). https:\/\/doi.org\/10.1016\/j.neucom.2018.11.015","journal-title":"Neurocomputing"},{"key":"2614_CR53","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1109\/CVPR.2012.6247789","volume":"2012","author":"P Ye","year":"2012","unstructured":"Ye, P., Kumar, J., Kang, L., Doermann, D.: Unsupervised feature learning framework for no-reference image quality assessment, in. IEEE Conf. Comput. Vis. Pattern Recogn. 2012, 1098\u20131105 (2012). https:\/\/doi.org\/10.1109\/CVPR.2012.6247789","journal-title":"IEEE Conf. Comput. Vis. Pattern Recogn."},{"issue":"9","key":"2614_CR54","doi-asserted-by":"publisher","first-page":"4444","DOI":"10.1109\/TIP.2016.2585880","volume":"25","author":"J Xu","year":"2016","unstructured":"Xu, J., Ye, P., Li, Q., Du, H., Liu, Y., Doermann, D.: Blind image quality assessment based on high order statistics aggregation. IEEE Trans. Image Process. 25(9), 4444\u20134457 (2016). https:\/\/doi.org\/10.1109\/TIP.2016.2585880","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"2614_CR55","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1167\/17.1.32","volume":"17","author":"D Ghadiyaram","year":"2017","unstructured":"Ghadiyaram, D., Bovik, A.C.: Perceptual quality prediction on authentically distorted images using a bag of features approach. J. Vis. 17(1), 32\u201332 (2017). https:\/\/doi.org\/10.1167\/17.1.32","journal-title":"J. Vis."},{"key":"2614_CR56","doi-asserted-by":"publisher","unstructured":"Yang, S., Jiang, Q., Lin, W., Wang, Y.: Sgdnet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment. In: the 27th ACM International Conference, (2019). https:\/\/doi.org\/10.1145\/3343031.3350990","DOI":"10.1145\/3343031.3350990"},{"key":"2614_CR57","doi-asserted-by":"publisher","first-page":"3664","DOI":"10.1109\/CVPR42600.2020.00372","volume":"2020","author":"S Su","year":"2020","unstructured":"Su, S., Yan, Q., Zhu, Y., Zhang, C., Ge, X., Sun, J., Zhang, Y.: Blindly assess image quality in the wild guided by a self-adaptive hyper network. IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR) 2020, 3664\u20133673 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00372","journal-title":"IEEE\/CVF Conf. Comput. Vis. Pattern Recogn. (CVPR)"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02614-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-022-02614-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-022-02614-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T09:11:25Z","timestamp":1695978685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-022-02614-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,13]]},"references-count":57,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["2614"],"URL":"https:\/\/doi.org\/10.1007\/s00371-022-02614-y","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2022,8,13]]},"assertion":[{"value":"30 June 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}