{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:46:30Z","timestamp":1778258790743,"version":"3.51.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T00:00:00Z","timestamp":1716940800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T00:00:00Z","timestamp":1716940800000},"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":["Int J Comput Vis"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s11263-024-02114-7","type":"journal-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T14:02:56Z","timestamp":1716991376000},"page":"4992-5013","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Inheriting Bayer\u2019s Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor"],"prefix":"10.1007","volume":"132","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0398-3316","authenticated-orcid":false,"given":"Haijin","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiezhang","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoguang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongqiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiep","family":"Luong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Aelterman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wilfried","family":"Philips","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"key":"2114_CR1","first-page":"25","volume":"30","author":"TU Ahmed","year":"2023","unstructured":"Ahmed, T. U., Amirshahi, S. A., & Pedersen, M. (2023). Image demosaicing: Subjective analysis and evaluation of image quality metrics. Image, 30, 25.","journal-title":"Image"},{"issue":"4","key":"2114_CR2","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1109\/TIP.2004.841200","volume":"14","author":"D Alleysson","year":"2005","unstructured":"Alleysson, D., Susstrunk, S., & H\u00e9rault, J. (2005). Linear demosaicing inspired by the human visual system. IEEE Transactions on Image Processing, 14(4), 439\u2013449.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2114_CR3","doi-asserted-by":"crossref","unstructured":"A Sharif, S., Naqvi, R. A., & Biswas, M. (2021). Beyond joint demosaicking and denoising: An image processing pipeline for a pixel-bin image sensor. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (pp. 233\u2013242).","DOI":"10.1109\/CVPRW53098.2021.00032"},{"issue":"5","key":"2114_CR4","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1109\/18.57199","volume":"36","author":"I Daubechies","year":"1990","unstructured":"Daubechies, I. (1990). The wavelet transform, time-frequency localization and signal analysis. IEEE Transactions on Information Theory, 36(5), 961\u20131005.","journal-title":"IEEE Transactions on Information Theory"},{"key":"2114_CR5","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970104","volume-title":"Ten lectures on wavelets","author":"I Daubechies","year":"1992","unstructured":"Daubechies, I. (1992). Ten lectures on wavelets. New Delhi: SIAM."},{"key":"2114_CR6","doi-asserted-by":"crossref","unstructured":"Dewil, V., Courtois, A., Rodr\u00edguez, M., Ehret, T., Brandonisio, N., Bujoreanu, D. & Arias, P. (2023). Video joint denoising and demosaicing with recurrent cnns. In Proceedings of the ieee\/cvf winter conference on applications of computer vision (pp. 5108\u20135119).","DOI":"10.1109\/WACV56688.2023.00508"},{"issue":"2","key":"2114_CR7","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C. C., He, K., & Tang, X. (2016). Image super-resolution using deep convolutional networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 295\u2013307.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2114_CR8","doi-asserted-by":"crossref","unstructured":"Dong, X., Xu, W., Miao, Z., Ma, L., Zhang, C., Yang, J. & Shen, J. (2022). Abandoning the bayer-filter to see in the dark. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (pp. 17431\u201317440).","DOI":"10.1109\/CVPR52688.2022.01691"},{"issue":"12","key":"2114_CR9","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1109\/LSP.2005.859503","volume":"12","author":"E Dubois","year":"2005","unstructured":"Dubois, E. (2005). Frequency-domain methods for demosaicking of bayer-sampled color images. IEEE Signal Processing Letters, 12(12), 847\u2013850.","journal-title":"IEEE Signal Processing Letters"},{"key":"2114_CR10","doi-asserted-by":"crossref","unstructured":"Ehret, T., Davy, A., Arias, P., & Facciolo, G. (2019). Joint demosaicking and denoising by fine-tuning of bursts of raw images. In Proceedings of the ieee\/cvf international conference on computer vision (pp. 8868\u20138877).","DOI":"10.1109\/ICCV.2019.00896"},{"key":"2114_CR11","doi-asserted-by":"crossref","unstructured":"Fan, Z., Wu, X., Meng, F., Wu, Y., & Zhang, F. (2023). Otst: A two-phase framework for joint denoising and remosaicing in rgbw cfa. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (pp. 2832\u20132841).","DOI":"10.1109\/CVPRW59228.2023.00284"},{"key":"2114_CR12","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1109\/TCI.2021.3102052","volume":"7","author":"K Feng","year":"2021","unstructured":"Feng, K., Zhao, Y., Chan, J.C.-W., Kong, S. G., Zhang, X., & Wang, B. (2021). Mosaic convolution-attention network for demosaicing multispectral filter array images. IEEE Transactions on Computational Imaging, 7, 864\u2013878.","journal-title":"IEEE Transactions on Computational Imaging"},{"issue":"6","key":"2114_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2980179.2982399","volume":"35","author":"M Gharbi","year":"2016","unstructured":"Gharbi, M., Chaurasia, G., Paris, S., & Durand, F. (2016). Deep joint demosaicking and denoising. ACM Transactions on Graphics (ToG), 35(6), 1\u201312.","journal-title":"ACM Transactions on Graphics (ToG)"},{"key":"2114_CR14","doi-asserted-by":"crossref","unstructured":"Guo, C., Li, C., Guo, J., Loy, C. C., Hou, J., Kwong, S., & Cong, R. (2020). Zero-reference deep curve estimation for low-light image enhancement. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (cvpr).","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"2114_CR15","doi-asserted-by":"publisher","first-page":"6930","DOI":"10.1109\/TIP.2021.3100312","volume":"30","author":"S Guo","year":"2021","unstructured":"Guo, S., Liang, Z., & Zhang, L. (2021). Joint denoising and demosaicking with green channel prior for real-world burst images. IEEE Transactions on Image Processing, 30, 6930\u20136942.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2114_CR16","doi-asserted-by":"crossref","unstructured":"Huang, J.-B., Singh, A., & Ahuja, N. (2015). Single image super-resolution from transformed self-exemplars. In Proceedings of the ieee conference on computer vision and pattern recognition (pp. 5197\u20135206).","DOI":"10.1109\/CVPR.2015.7299156"},{"issue":"9","key":"2114_CR17","first-page":"220","volume":"2021","author":"Y Jang","year":"2021","unstructured":"Jang, Y., Kim, H., Kim, K., Kim, S., Lee, S., & Yim, J. (2021). A new pdaf correction method of cmos image sensor with nonacell and super pd to improve image quality in binning mode. Electronic Imaging, 2021(9), 220\u2013221.","journal-title":"Electronic Imaging"},{"key":"2114_CR18","doi-asserted-by":"crossref","unstructured":"Jia, J., Sun, H., Liu, X., Xiao, L., Xu, Q., & Zhai, G. (2022). Learning rich information for quad bayer remosaicing and denoising. In European conference on computer vision (pp. 175\u2013191).","DOI":"10.1007\/978-3-031-25072-9_12"},{"key":"2114_CR19","doi-asserted-by":"crossref","unstructured":"Kim, I., Lim, D., Seo, Y., Lee, J., Choi, Y., & Song, S. (2021). On recent results in demosaicing of samsung 108mp cmos sensor using deep learning. In 2021 ieee region 10 symposium (tensymp) (pp. 1\u20134).","DOI":"10.1109\/TENSYMP52854.2021.9550945"},{"issue":"7","key":"2114_CR20","first-page":"60410","volume":"2020","author":"I Kim","year":"2020","unstructured":"Kim, I., Song, S., Chang, S., Lim, S., & Guo, K. (2020). Deep image demosaicing for submicron image sensors. Electronic Imaging, 2020(7), 60410\u201360411.","journal-title":"Electronic Imaging"},{"issue":"21","key":"2114_CR21","doi-asserted-by":"publisher","first-page":"4653","DOI":"10.3390\/s19214653","volume":"19","author":"Y Kim","year":"2019","unstructured":"Kim, Y., & Kim, Y. (2019). High-sensitivity pixels with a quad-wrgb color filter and spatial deep-trench isolation. Sensors, 19(21), 4653.","journal-title":"Sensors"},{"issue":"9","key":"2114_CR22","first-page":"206","volume":"2021","author":"Y Kim","year":"2021","unstructured":"Kim, Y., Lee, J., Kim, S., Bang, J., Hong, D., Kim, T., & Yim, J. (2021). Camera image quality tradeoff processing of image sensor re-mosaic using deep neural network. Electronic Imaging, 2021(9), 206\u20131.","journal-title":"Electronic Imaging"},{"key":"2114_CR23","doi-asserted-by":"crossref","unstructured":"Levin, A., Nadler, B., Durand, F., & Freeman, W. T. (2012). Patch complexity, finite pixel correlations and optimal denoising. In European conference on computer vision (pp. 73\u201386).","DOI":"10.1007\/978-3-642-33715-4_6"},{"key":"2114_CR24","doi-asserted-by":"crossref","unstructured":"Li, Y., Huang, J.-B., Ahuja, N., & Yang, M.-H. (2016). Deep joint image filtering. In European conference on computer vision (pp. 154\u2013169).","DOI":"10.1007\/978-3-319-46493-0_10"},{"key":"2114_CR25","doi-asserted-by":"crossref","unstructured":"Liu, J., Wu, C.-H., Wang, Y., Xu, Q., Zhou, Y., Huang, H. & others (2019). Learning raw image denoising with bayer pattern unification and bayer preserving augmentation. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition workshops.","DOI":"10.1109\/CVPRW.2019.00259"},{"key":"2114_CR26","doi-asserted-by":"crossref","unstructured":"Liu, L., Jia, X., Liu, J., & Tian, Q. (2020). Joint demosaicing and denoising with self guidance. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (pp. 2240\u20132249).","DOI":"10.1109\/CVPR42600.2020.00231"},{"key":"2114_CR27","doi-asserted-by":"crossref","unstructured":"Liu, P., Zhang, H., Zhang, K., Lin, L., & Zuo, W. (2018a). Multi-level wavelet-cnn for image restoration. In Proceedings of the ieee conference on computer vision and pattern recognition workshops (pp. 773\u2013782).","DOI":"10.1109\/CVPRW.2018.00121"},{"key":"2114_CR28","doi-asserted-by":"crossref","unstructured":"Liu, P., Zhang, H., Zhang, K., Lin, L., & Zuo, W. (2018b). Multi-level wavelet-cnn for image restoration. In Proceedings of the ieee conference on computer vision and pattern recognition workshops (pp. 773\u2013782).","DOI":"10.1109\/CVPRW.2018.00121"},{"key":"2114_CR29","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z. & Guo, B. (2021). Swin transformer: Hierarchical vision transformer using shifted windows. In Proceedings of the ieee\/cvf international conference on computer vision (pp. 10012\u201310022).","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"5","key":"2114_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3508461","volume":"41","author":"K Ma","year":"2022","unstructured":"Ma, K., Gharbi, M., Adams, A., Kamil, S., Li, T.-M., Barnes, C., & Ragan-Kelley, J. (2022). Searching for fast demosaicking algorithms. ACM Transactions on Graphics (TOG), 41(5), 1\u201318.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"2114_CR31","doi-asserted-by":"crossref","unstructured":"Malvar, H. S., He, L.-w., & Cutler, R. (2004). High-quality linear interpolation for demosaicing of bayer-patterned color images. In 2004 ieee international conference on acoustics, speech, and signal processing (vol. 3, pp. iii\u2013485).","DOI":"10.1109\/ICASSP.2004.1326587"},{"issue":"4","key":"2114_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2010324.1964935","volume":"30","author":"R Mantiuk","year":"2011","unstructured":"Mantiuk, R., Kim, K. J., Rempel, A. G., & Heidrich, W. (2011). Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions. ACM Transactions on Graphics (TOG), 30(4), 1\u201314.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"2114_CR33","doi-asserted-by":"crossref","unstructured":"Mei, K., Li, J., Zhang, J., Wu, H., Li, J., & Huang, R. (2019). Higher-resolution network for image demosaicing and enhancing. In 2019 ieee\/cvf international conference on computer vision workshop (iccvw) (pp. 3441\u20133448).","DOI":"10.1109\/ICCVW.2019.00427"},{"issue":"3\u20134","key":"2114_CR34","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/S0167-8655(00)00129-X","volume":"22","author":"J Mukherjee","year":"2001","unstructured":"Mukherjee, J., Parthasarathi, R., & Goyal, S. (2001). Markov random field processing for color demosaicing. Pattern Recognition Letters, 22(3\u20134), 339\u2013351.","journal-title":"Pattern Recognition Letters"},{"key":"2114_CR35","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., & Brox, T. (2015). U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 234\u2013241).","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"2114_CR36","unstructured":"Sharif, S., Naqvi, R. A., & Biswas, M. (2021). Sagan: Adversarial spatial-asymmetric attention for noisy nona-bayer reconstruction. arXiv preprint arXiv:2110.08619."},{"key":"2114_CR37","doi-asserted-by":"crossref","unstructured":"Shekhar Tripathi, A., Danelljan, M., Shukla, S., Timofte, R., & Van Gool, L. (2022). Transform your smartphone into a dslr camera: Learning the isp in the wild. In European Conference on Computer Vision European Conference on Computer Vision (pp. 625\u2013641).","DOI":"10.1007\/978-3-031-20068-7_36"},{"issue":"14","key":"2114_CR38","doi-asserted-by":"publisher","first-page":"3215","DOI":"10.3390\/s19143215","volume":"19","author":"A Stojkovic","year":"2019","unstructured":"Stojkovic, A., Shopovska, I., Luong, H., Aelterman, J., Jovanov, L., & Philips, W. (2019). The effect of the color filter array layout choice on state-of-the-art demosaicing. Sensors, 19(14), 3215.","journal-title":"Sensors"},{"issue":"5","key":"2114_CR39","doi-asserted-by":"publisher","first-page":"2408","DOI":"10.1109\/TIP.2018.2803341","volume":"27","author":"DS Tan","year":"2018","unstructured":"Tan, D. S., Chen, W.-Y., & Hua, K.-L. (2018). Deepdemosaicking: Adaptive image demosaicking via multiple deep fully convolutional networks. IEEE Transactions on Image Processing, 27(5), 2408\u20132419.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2114_CR40","unstructured":"Tan, R., Zhang, K., Zuo, W., & Zhang, L. (2017). Color image demosaicking via deep residual learning. In Proc. ieee int. conf. multimedia expo (icme) (pp. 793\u2013798)."},{"issue":"9","key":"2114_CR41","doi-asserted-by":"publisher","first-page":"1495","DOI":"10.1016\/j.imavis.2006.12.018","volume":"25","author":"C-Y Tsai","year":"2007","unstructured":"Tsai, C.-Y., & Song, K.-T. (2007). A new edge-adaptive demosaicing algorithm for color filter arrays. Image and Vision Computing, 25(9), 1495\u20131508.","journal-title":"Image and Vision Computing"},{"key":"2114_CR42","doi-asserted-by":"crossref","unstructured":"Wu, X., Fan, Z., Zheng, J., Wu, Y., & Zhang, F. (2022). Learning to joint remosaic and denoise in quad bayer cfa via universal multi-scale channel attention network. In European Conference on Computer Vision (pp. 147\u2013160).","DOI":"10.1007\/978-3-031-25072-9_10"},{"key":"2114_CR43","doi-asserted-by":"crossref","unstructured":"Xing, W., & Egiazarian, K. (2021). End-to-end learning for joint image demosaicing, denoising and super-resolution. In Proceedings of the ieee\/cvf conference on computer vision and pattern recognition (pp. 3507\u20133516).","DOI":"10.1109\/CVPR46437.2021.00351"},{"key":"2114_CR44","doi-asserted-by":"crossref","unstructured":"Yang, Q., Yang, G., Jiang, J., Li, C., Feng, R., Zhou, S. & Gu, J. (2022). Mipi 2022 challenge on quad-bayer re-mosaic: Dataset and report. arXiv preprint arXiv:2209.07060.","DOI":"10.1007\/978-3-031-25072-9_3"},{"issue":"7","key":"2114_CR45","doi-asserted-by":"publisher","first-page":"14917","DOI":"10.3390\/s150714917","volume":"15","author":"Y Yoo","year":"2015","unstructured":"Yoo, Y., Im, J., & Paik, J. (2015). Low-light image enhancement using adaptive digital pixel binning. Sensors, 15(7), 14917\u201314931.","journal-title":"Sensors"},{"issue":"11","key":"2114_CR46","doi-asserted-by":"publisher","first-page":"5173","DOI":"10.1109\/TIP.2016.2601266","volume":"25","author":"C Zhang","year":"2016","unstructured":"Zhang, C., Li, Y., Wang, J., & Hao, P. (2016). Universal demosaicking of color filter arrays. IEEE Transactions on Image Processing, 25(11), 5173\u20135186.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2114_CR47","doi-asserted-by":"crossref","unstructured":"Zhang, K., Li, Y., Liang, J., Cao, J., Zhang, Y., Tang, H. & Van Gool, L. (2022). Practical blind denoising via swin-conv-unet and data synthesis. arXiv preprint arXiv:2203.13278.","DOI":"10.1007\/s11633-023-1466-0"},{"key":"2114_CR48","doi-asserted-by":"crossref","unstructured":"Zhang, L., & Wu, X. (2005). Color demosaicking via directional linear minimum mean square-error estimation. IEEE Transactions on Image Processing, 14(12), 2167\u20132178.","DOI":"10.1109\/TIP.2005.857260"},{"key":"2114_CR49","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018). The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 586\u2013595).","DOI":"10.1109\/CVPR.2018.00068"},{"key":"2114_CR50","doi-asserted-by":"crossref","unstructured":"Zhang, T., Fu, Y., & Li, C. (2022). Deep spatial adaptive network for real image demosaicing. In Proceedings of the AAAI Conference on Artificial Intelligence (vol. 36, pp. 3326\u20133334).","DOI":"10.1609\/aaai.v36i3.20242"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02114-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-024-02114-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02114-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T05:05:57Z","timestamp":1729919157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-024-02114-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,29]]},"references-count":50,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["2114"],"URL":"https:\/\/doi.org\/10.1007\/s11263-024-02114-7","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,29]]},"assertion":[{"value":"31 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}