Sharpness Enhancement of Stereo Images Using Binocular Just-Noticeable Difference
In this paper, we propose a new sharpness enhancement algorithm for stereo images. Although the stereo image and its applications are becoming increasingly prevalent, there has been very limited research on specialized image enhancement solutions for stereo images. Recently, a binocular just-noticea...
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| Veröffentlicht in: | IEEE transactions on image processing 2012-03, Vol.21 (3), p.1191-1199 |
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| container_title | IEEE transactions on image processing |
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| creator | JUNG, Seung-Won JEONG, Jae-Yun KO, Sung-Jea |
| description | In this paper, we propose a new sharpness enhancement algorithm for stereo images. Although the stereo image and its applications are becoming increasingly prevalent, there has been very limited research on specialized image enhancement solutions for stereo images. Recently, a binocular just-noticeable-difference (BJND) model that describes the sensitivity of the human visual system to luminance changes in stereo images has been presented. We introduce a novel application of the BJND model for the sharpness enhancement of stereo images. To this end, an overenhancement problem in the sharpness enhancement of stereo images is newly addressed, and an efficient solution for reducing the overenhancement is proposed. The solution is found within an optimization framework with additional constraint terms to suppress the unnecessary increase in luminance values. In addition, the reliability of the BJND model is taken into account by estimating the accuracy of stereo matching. Experimental results demonstrate that the proposed algorithm can provide sharpness-enhanced stereo images without producing excessive distortion. |
| doi_str_mv | 10.1109/TIP.2011.2167346 |
| format | Article |
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Although the stereo image and its applications are becoming increasingly prevalent, there has been very limited research on specialized image enhancement solutions for stereo images. Recently, a binocular just-noticeable-difference (BJND) model that describes the sensitivity of the human visual system to luminance changes in stereo images has been presented. We introduce a novel application of the BJND model for the sharpness enhancement of stereo images. To this end, an overenhancement problem in the sharpness enhancement of stereo images is newly addressed, and an efficient solution for reducing the overenhancement is proposed. The solution is found within an optimization framework with additional constraint terms to suppress the unnecessary increase in luminance values. In addition, the reliability of the BJND model is taken into account by estimating the accuracy of stereo matching. Experimental results demonstrate that the proposed algorithm can provide sharpness-enhanced stereo images without producing excessive distortion.</description><identifier>ISSN: 1057-7149</identifier><identifier>EISSN: 1941-0042</identifier><identifier>DOI: 10.1109/TIP.2011.2167346</identifier><identifier>PMID: 21908253</identifier><identifier>CODEN: IIPRE4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Accuracy ; Algorithms ; Applied sciences ; Binocular just-noticeable difference (BJND) ; Binoculars ; Detection, estimation, filtering, equalization, prediction ; Distortion ; Exact sciences and technology ; human visual system (HVS) ; Humans ; Image enhancement ; Image processing ; Information, signal and communications theory ; Luminance ; Mathematical models ; Measurement ; Noise ; Reliability ; Sharpness ; Signal and communications theory ; Signal processing ; Signal, noise ; stereo image ; Stereo vision ; Telecommunications and information theory ; Visual system</subject><ispartof>IEEE transactions on image processing, 2012-03, Vol.21 (3), p.1191-1199</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Although the stereo image and its applications are becoming increasingly prevalent, there has been very limited research on specialized image enhancement solutions for stereo images. Recently, a binocular just-noticeable-difference (BJND) model that describes the sensitivity of the human visual system to luminance changes in stereo images has been presented. We introduce a novel application of the BJND model for the sharpness enhancement of stereo images. To this end, an overenhancement problem in the sharpness enhancement of stereo images is newly addressed, and an efficient solution for reducing the overenhancement is proposed. The solution is found within an optimization framework with additional constraint terms to suppress the unnecessary increase in luminance values. In addition, the reliability of the BJND model is taken into account by estimating the accuracy of stereo matching. Experimental results demonstrate that the proposed algorithm can provide sharpness-enhanced stereo images without producing excessive distortion.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Binocular just-noticeable difference (BJND)</subject><subject>Binoculars</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Distortion</subject><subject>Exact sciences and technology</subject><subject>human visual system (HVS)</subject><subject>Humans</subject><subject>Image enhancement</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Luminance</subject><subject>Mathematical models</subject><subject>Measurement</subject><subject>Noise</subject><subject>Reliability</subject><subject>Sharpness</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>stereo image</subject><subject>Stereo vision</subject><subject>Telecommunications and information theory</subject><subject>Visual system</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90UlrHDEQBWBhErzmHgiEJhCcS0-qtLaOiZdkjMmC7XOj1pTsNr2Mpe5D_n00zMSBHHKSQF89VDzGXiMsEMF-vF3-WHBAXHDURki9xw7RSiwBJH-R76BMaVDaA3aU0iMASoV6nx1wtFBxJQ7Zz5sHF9cDpVRcDA9u8NTTMBVjKG4mijQWy97dUyruUjvcF5_bYfRz52JxNaep_DZOrSfXdFSctyFkn-dP2MvgukSvducxu7u8uD37Wl5__7I8-3RdegnVVDZyZTBovmqs1lw6WVVhpTyBg6CVD85VAoPQlfbCKU1kgpFoeP53IwRxccxOt7nrOD7NlKa6b5OnrnMDjXOqLefSVkqKLD_8VyKg1dxoKTN99w99HOc45D02eYCCqyoj2CIfx5QihXod297FXzmp3vRS517qTS_1rpc88naXOzc9rZ4H_hSRwfsdcMm7LsRcRZv-OqW0Nhaye7N1LRE9P2tApRSK3yn8nEk</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>JUNG, Seung-Won</creator><creator>JEONG, Jae-Yun</creator><creator>KO, Sung-Jea</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Although the stereo image and its applications are becoming increasingly prevalent, there has been very limited research on specialized image enhancement solutions for stereo images. Recently, a binocular just-noticeable-difference (BJND) model that describes the sensitivity of the human visual system to luminance changes in stereo images has been presented. We introduce a novel application of the BJND model for the sharpness enhancement of stereo images. To this end, an overenhancement problem in the sharpness enhancement of stereo images is newly addressed, and an efficient solution for reducing the overenhancement is proposed. The solution is found within an optimization framework with additional constraint terms to suppress the unnecessary increase in luminance values. In addition, the reliability of the BJND model is taken into account by estimating the accuracy of stereo matching. Experimental results demonstrate that the proposed algorithm can provide sharpness-enhanced stereo images without producing excessive distortion.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>21908253</pmid><doi>10.1109/TIP.2011.2167346</doi><tpages>9</tpages></addata></record> |
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| subjects | Accuracy Algorithms Applied sciences Binocular just-noticeable difference (BJND) Binoculars Detection, estimation, filtering, equalization, prediction Distortion Exact sciences and technology human visual system (HVS) Humans Image enhancement Image processing Information, signal and communications theory Luminance Mathematical models Measurement Noise Reliability Sharpness Signal and communications theory Signal processing Signal, noise stereo image Stereo vision Telecommunications and information theory Visual system |
| title | Sharpness Enhancement of Stereo Images Using Binocular Just-Noticeable Difference |
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