{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T18:03:41Z","timestamp":1772042621630,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T00:00:00Z","timestamp":1498089600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, a high dynamic range (HDR) imaging method based on the stereo vision system is presented. The proposed method uses differently exposed low dynamic range (LDR) images captured from a stereo camera. The stereo LDR images are first converted to initial stereo HDR images using the inverse camera response function estimated from the LDR images. However, due to the limited dynamic range of the stereo LDR camera, the radiance values in under\/over-exposed regions of the initial main-view (MV) HDR image can be lost. To restore these radiance values, the proposed stereo matching and hole-filling algorithms are applied to the stereo HDR images. Specifically, the auxiliary-view (AV) HDR image is warped by using the estimated disparity between initial the stereo HDR images and then effective hole-filling is applied to the warped AV HDR image. To reconstruct the final MV HDR, the warped and hole-filled AV HDR image is fused with the initial MV HDR image using the weight map. The experimental results demonstrate objectively and subjectively that the proposed stereo HDR imaging method provides better performance compared to the conventional method.<\/jats:p>","DOI":"10.3390\/s17071473","type":"journal-article","created":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T10:11:35Z","timestamp":1498126295000},"page":"1473","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Stereo Vision-Based High Dynamic Range Imaging Using Differently-Exposed Image Pair"],"prefix":"10.3390","volume":"17","author":[{"given":"Won-Jae","family":"Park","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 136-701, Korea"}]},{"given":"Seo-Won","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 136-701, Korea"}]},{"given":"Seok-Jae","family":"Kang","sequence":"additional","affiliation":[{"name":"Samsung Electronics Co. Ltd., 1, Samsungjeonja-ro, Hwaseong-si 445-330, Gyeonggi-do, Korea"}]},{"given":"Seung-Won","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Multimedia Engineering, Dongguk University, Pildong-ro 1gil 30, Jung-gu, Seoul 100-715; Korea"}]},{"given":"Sung-Jea","family":"Ko","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 136-701, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.3390\/s8031915","article-title":"A dynamic range expansion technique for CMOS image sensors with dual charge storage in a pixel and multiple sampling","volume":"8","author":"Shafie","year":"2008","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9452","DOI":"10.3390\/s91209452","article-title":"Non-linearity in wide dynamic range CMOS image sensors utilizing a partial charge transfer technique","volume":"9","author":"Shafie","year":"2009","journal-title":"Sensors"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"8412","DOI":"10.3390\/s110908412","article-title":"A Novel Method to Increase LinLog CMOS Sensors\u2019 Performance in High Dynamic Range Scenarios","volume":"11","author":"Halin","year":"2011","journal-title":"Sensors"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1111\/j.1467-8659.2008.01171.x","article-title":"Exposure fusion: A simple and practical alternative to high dynamic range photography","volume":"28","author":"Mertens","year":"2009","journal-title":"Comput. Graph. Forum"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Gallo, O., Gelfandz, N., Chen, W.-C., Tico, M., and Pulli, K. (2009, January 16\u201317). Artifact-free high dynamic range imaging. Proceedings of the IEEE International Conference on Computational Photography, San Francisco, CA, USA.","DOI":"10.1109\/ICCPHOT.2009.5559003"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/TCE.2012.6227469","article-title":"Fast multi-exposure image fusion with median filter and recursive filter","volume":"58","author":"Li","year":"2012","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2318","DOI":"10.1109\/TIP.2011.2170079","article-title":"Gradient-directed multiexposure composition","volume":"21","author":"Zhang","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MCG.2008.23","article-title":"Automatic high dynamic range image generation for dynamic scenes","volume":"28","author":"Jacobs","year":"2008","journal-title":"IEEE Comput. Graph. Appl."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1145\/2366145.2366222","article-title":"Robust patch-based HDR reconstruction of dynamic scenes","volume":"31","author":"Sen","year":"2012","journal-title":"ACM Trans. Graph."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Hu, J., Gallo, O., Pulli, K., and Sun, X. (2013, January 23\u201328). HDR Deghosting: How to Deal with Saturation?. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA.","DOI":"10.1109\/CVPR.2013.154"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Lu, J., Yang, H., Min, D., and Do, M.N. (2013, January 23\u201328). Patch Match Filter: Efficient edge-aware filtering meets randomized search for fast correspondence field estimation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA.","DOI":"10.1109\/CVPR.2013.242"},{"key":"ref_12","unstructured":"Nayar, S.K., and Mitsunaga, T. (2000, January 15). High dynamic range imaging: Spatially varying pixel exposures. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, USA."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/2422105.2422108","article-title":"Generating stereoscopic HDR images using HDR-LDR image pairs","volume":"10","author":"Selmanovic","year":"2013","journal-title":"ACM Trans. Appl. Perception."},{"key":"ref_14","unstructured":"Lin, H.-Y., and Chang, W.-Z. (2009, January 7\u201310). High dynamic range imaging for stereoscopic scene representation. Proceedings of the 16th IEEE International Conference on Image Processing, Cairo, Egypt."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Sun, N., Mansour, H., and Ward, R. (2010, January 26\u201329). HDR image construction from multi-exposed stereo LDR images. In Proceeding of the 17th IEEE International Conference on Image Processing, Hong Kong, China.","DOI":"10.1109\/ICIP.2010.5653371"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.image.2013.08.016","article-title":"High dynamic range video reconstruction from a stereo camera setup","volume":"29","author":"Batz","year":"2014","journal-title":"Signal Process. Image Commun."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1111\/cgf.12593","article-title":"The State of the Art in HDR Deghosting: A Survey and Evaluation","volume":"34","author":"Tursun","year":"2015","journal-title":"Comput. Graph. Forum"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/s001380050120","article-title":"A compact algorithm for rectification of stereo pairs","volume":"12","author":"Fusiello","year":"2000","journal-title":"Mach. Vis. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Debevec, P.E., and Malik, J. (2008, January 11\u201315). Recovering high dynamic range radiance maps from photographs. Proceedings of the ACM SIGGRAPH 2008 classes, Los Angeles, CA, USA.","DOI":"10.1145\/1401132.1401174"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Moore, A.P., Prince, S.J.D., Warrell, J., Mohammed, U., and Jones, G. (2008, January 23\u201328). Superpixel lattices. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA.","DOI":"10.1109\/CVPR.2008.4587471"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","article-title":"Efficient graph-based image segmentation","volume":"59","author":"Felzenszwalb","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_22","unstructured":"Akhavan, T., Yoo, H., and Gelautz, M. (2014, January 1\u20135). Evaluation of LDR, tone mapped and HDR stereo matching using cost-volume filtering approach. Proceeding of the European Signal Processing Conference, Lisbon, Portugal."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zabih, R., and Woodfill, J. (1994, January 2\u20136). Non-parametric local transforms for computing visual correspondence. Proceedings of the European Conference on Computer Vision, Stockholm, Sweden.","DOI":"10.1007\/BFb0028345"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1109\/TPAMI.2008.221","article-title":"Evaluation of stereo matching costs on images with radiometric differences","volume":"31","author":"Hirschmuller","year":"2009","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1109\/TPAMI.2006.70","article-title":"Adaptive support-weight approach for correspondence search","volume":"28","author":"Yoon","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Tombari, F., Mattoccia, S., and Stefano, L.D. (2007, January 17\u201319). Segmentation-Based Adaptive Support for Accurate Stereo Correspondence. Proceedings of the Pacific-Rim Symposium on Image and Video Technology, Santiago, Chile.","DOI":"10.1007\/978-3-540-77129-6_38"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2539","DOI":"10.1109\/TPAMI.2013.15","article-title":"Joint histogram-based cost aggregation for stereo matching","volume":"35","author":"Min","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kang, S.-J., Lee, D.-H., Ji, S.-W., Kim, C.-S., and Ko, S.-J. (2016, January 7\u201311). A novel method to generate the ghost-free wide dynamic range image. Proceedings of the IEEE International Conference on Consumer Electronics, Las Vegas, NV, USA.","DOI":"10.1109\/ICCE.2016.7430532"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Gastal, E.S.L., and Oliveira, M.M. (2011, January 7\u201311). Domain transform for edge-aware image and video processing. Proceedings of the ACM SIGGRAPH 2011, Vancouver, BC, Canada.","DOI":"10.1145\/1964921.1964964"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Perez, P., Gangnet, M., and Blake, A. (2003, January 27\u201331). Poisson image editing. Proceedings of the ACM SIGGRAPH 2003, San Diego, CA, USA.","DOI":"10.1145\/1201775.882269"},{"key":"ref_31","unstructured":"(2017, June 21). Middlebury Stereo Vision Page. Available online: http:\/\/vision.middlebury.edu\/stereo\/."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Mantiuk, R., Myszkowski, K., and Seidel, H.-P. (2005, January 26\u201328). A perceptual framework for contrast processing of high dynamic range images. Proceedings of the Second Symposium on Applied Perception in Graphics and Visualization, La Coru\u00f1a, Spain.","DOI":"10.1145\/1080402.1080418"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Mantiuk, R., Kim, K.J., Rempel, A.G., and Heidrich, W. (2011, January 7\u201311). HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions. Proceedings of the ACM SIGGRAPH 2011, Vancouver, BC, Canada.","DOI":"10.1145\/1964921.1964935"},{"key":"ref_34","unstructured":"Robertson, M., Borman, S., and Stevenson, R. (1999, January 24\u201328). Dynamic range improvement through multiple exposures. Proceedings of the International Conference on Image Processing, Kobe, Japan."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1473\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:40:05Z","timestamp":1760208005000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,22]]},"references-count":34,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2017,7]]}},"alternative-id":["s17071473"],"URL":"https:\/\/doi.org\/10.3390\/s17071473","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,22]]}}}