{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T13:32:32Z","timestamp":1744896752125,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756025"},{"type":"electronic","value":"9789819756032"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5603-2_12","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T17:02:49Z","timestamp":1722531769000},"page":"142-154","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Image Denoising Based on an Improved Wavelet Threshold and Total Variation Model"],"prefix":"10.1007","author":[{"given":"Zhi","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengying","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengcai","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Kong, T.L., Isa, N.A.M.: Histogram based image enhancement for non-uniformly illuminated and low contrast images. In: 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 586\u2013591. IEEE (2015)","DOI":"10.1109\/ICIEA.2015.7334179"},{"issue":"4","key":"12_CR2","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1002\/ima.22417","volume":"30","author":"Z Li","year":"2020","unstructured":"Li, Z., Jia, Z., Yang, J., et al.: An efficient and high quality medical CT image enhancement algorithm. Int. J. Imaging Syst. Technol. 30(4), 939\u2013949 (2020)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"12_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102043","volume":"71","author":"F Janan","year":"2021","unstructured":"Janan, F., Brady, M.: RICE: a method for quantitative mammographic image enhancement. Med. Image Anal. 71, 102043 (2021)","journal-title":"Med. Image Anal."},{"key":"12_CR4","doi-asserted-by":"publisher","unstructured":"Plataniotis, K., Venetsanopoulos, A.N.: Color Image Processing and Applications, Springer Science and Business Media, Springer Berlin, Heidelberg (2000). https:\/\/doi.org\/10.1007\/978-3-662-04186-4","DOI":"10.1007\/978-3-662-04186-4"},{"key":"12_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/978-3-319-10605-2_12","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Y Li","year":"2014","unstructured":"Li, Y., Guo, F., Tan, R.T., Brown, M.S.: A contrast enhancement framework with JPEG artifacts suppression. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 174\u2013188. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10605-2_12"},{"issue":"1\u20134","key":"12_CR6","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60(1\u20134), 259\u2013268 (1992)","journal-title":"Phys. D"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s10915-007-9133-0","volume":"32","author":"TF Chan","year":"2007","unstructured":"Chan, T.F., Zhou, H.M.: Total variation wavelet thresholding. J. Sci. Comput. 32, 315\u2013341 (2007)","journal-title":"J. Sci. Comput."},{"key":"12_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2021.166273","volume":"230","author":"UK Acharya","year":"2021","unstructured":"Acharya, U.K., Kumar, S.: Genetic algorithm based adaptive histogram equalization (GAAHE) technique for medical image enhancement. Optik 230, 166273 (2021)","journal-title":"Optik"},{"issue":"5","key":"12_CR9","doi-asserted-by":"publisher","first-page":"1604","DOI":"10.1002\/ima.22725","volume":"32","author":"H Wang","year":"2022","unstructured":"Wang, H., Yang, P., Xu, C., et al.: Lung CT image enhancement based on total variational frame and wavelet transform. Int. J. Imaging Syst. Technol. 32(5), 1604\u20131614 (2022)","journal-title":"Int. J. Imaging Syst. Technol."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Charles, B.: Image noise models. In: Handbook of Image and Video Processing, pp. 397\u2013409, Academic Press (2005)","DOI":"10.1016\/B978-012119792-6\/50087-5"},{"key":"12_CR11","unstructured":"Floyd, R.: An adaptive algorithm for spatial grey scale. In: SID Digest (1975)"},{"issue":"10","key":"12_CR12","doi-asserted-by":"publisher","first-page":"2036","DOI":"10.1080\/00207160.2017.1364371","volume":"95","author":"C Li","year":"2018","unstructured":"Li, C., Fan, Q.: Multiplicative noise removal via combining total variation and wavelet frame. Int. J. Comput. Math. 95(10), 2036\u20132055 (2018)","journal-title":"Int. J. Comput. Math."},{"issue":"9","key":"12_CR13","doi-asserted-by":"publisher","first-page":"508","DOI":"10.3390\/fractalfract6090508","volume":"6","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., Liu, T., Yang, F., et al.: A study of adaptive fractional-order total variational medical image denoising. Fractal Fractional 6(9), 508 (2022)","journal-title":"Fractal Fractional"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Wei, D., Rajashekar, U., Bovik, A.C.: 3.4\u2014wavelet denoising for image enhancement. In: Bovik, A. (ed.) Handbook of Image and Video Processing, 2nd Edition. 157\u2013165 (2005)","DOI":"10.1016\/B978-012119792-6\/50073-5"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Elazab, A., Wang, C., Jia, F., et al.: Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy C-means clustering. Comput. Math. Methods Med. 2015(1), 485495 (2015)","DOI":"10.1155\/2015\/485495"},{"key":"12_CR16","unstructured":"Gonzalez, R.C., Woods, R.E., Edins, S.L.: Digital image processing using MATLAB, publishing house of electronics industry. In: Digital Image Processing Using Matlab, Publishing House of Electronics Industry, Beijing (2004)"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.specom.2014.11.005","volume":"67","author":"S Badiezadegan","year":"2015","unstructured":"Badiezadegan, S., Rose, R.C.: A wavelet-based thresholding approach to reconstructing unreliable spectrogram components. Speech Commun. 67, 129\u2013142 (2015)","journal-title":"Speech Commun."},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Jing-Yi, L., Hong, L., Dong, Y., et al.: A new wavelet threshold function and denoising application. Math. Probl. Eng. 2016(1), 3195492 (2016)","DOI":"10.1155\/2016\/3195492"},{"issue":"1","key":"12_CR19","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s13640-018-0401-8","volume":"2019","author":"Y Binbin","year":"2019","unstructured":"Binbin, Y.: An improved infrared image processing method based on adaptive threshold denoising. EURASIP J. Image Video Process. 2019(1), 5 (2019)","journal-title":"EURASIP J. Image Video Process."},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, K., Liu, X., Shen, J., et al.: Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography. Cell 181(6), 1423\u20131433 (2020)","DOI":"10.1016\/j.cell.2020.04.045"},{"key":"12_CR21","unstructured":"Liang, L., Chen, J., Ma, S., et al.: A no-reference perceptual blur metric using histogram of gradient profile sharpness. In: 2009 16th IEEE International Conference on Image Processing (ICIP), 4369\u20134372. IEEE (2009)"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Zuiderveld, K.: Contrast limited adaptive histogram equalization. In: Graphics gems IV, 474\u2013485 (1994)","DOI":"10.1016\/B978-0-12-336156-1.50061-6"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5603-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T17:10:12Z","timestamp":1722532212000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5603-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756025","9789819756032"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5603-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}