{"id":10,"date":"2024-04-03T23:31:27","date_gmt":"2024-04-03T20:31:27","guid":{"rendered":"https:\/\/sisu.ut.ee\/imageprocessing\/6-2\/"},"modified":"2024-04-03T23:31:31","modified_gmt":"2024-04-03T20:31:31","slug":"6-2","status":"publish","type":"page","link":"https:\/\/sisu.ut.ee\/imageprocessing\/6-2\/","title":{"rendered":"6. Image enhancement: contrast enhancement, part II"},"content":{"rendered":"<p style=\"text-align: justify\"><span style=\"color: #000000\">If the contrast of an image is highly c<\/span>oncentrated on a specific range, e.g. an image is very dark; the information may be lost in those areas which are excessively and uniformly concentrated. The problem is to optimize the contrast of an image in order to represent all the information in the input image.\u00a0<\/p><p>In this lecture we will talk about contrast enhancement. Histogram equalization will be introduced in details. Also the state-of-the-art techniques such as singular value equalization will be introduced and discussed.<\/p><p style=\"text-align: center\"><\/p><div class=\"ratio ratio-16x9 mb-3\"><div class=\"video-placeholder-wrapper video-placeholder-wrapper--16x9\">\n\t\t\t    <div class=\"video-placeholder d-flex justify-content-center align-items-center\">\n\t\t\t        <div class=\"overlay text-white p-2 w-100 text-center d-block justify-content-center align-items-center\">\n\t\t\t            <div>To view third-party content, please accept cookies.<\/div>\n\t\t\t            <button class=\"btn btn-secondary btn-sm mt-1 consent-change\">Change consent<\/button>\n\t\t\t        <\/div>\n\t\t\t    <\/div>\n\t\t\t<\/div>\n<\/div><p style=\"text-align: center\"><a style=\"background-color: #ffffff\" href=\"http:\/\/www.uttv.ee\/naita?id=20141\" target=\"_blank\" rel=\"noopener\">http:\/\/www.uttv.ee\/naita?id=20141<\/a>\u00a0<\/p><p style=\"text-align: center\"><a href=\"http:\/\/youtu.be\/r74UxE4_kQ0?list=UU-ETlxdihAaw8Pn6_Zz10lg\" target=\"_blank\" rel=\"noopener\">http:\/\/youtu.be\/r74UxE4_kQ0?list=UU-ETlxdihAaw8Pn6_Zz10lg<\/a><\/p><p style=\"text-align: justify\"><span style=\"color: #000000\">The following paper as well as the attached documents are strongly recommended to be reviewed.\u00a0<\/span><\/p><p style=\"text-align: justify\"><span style=\"color: #000000\">Hasan Demirel, Gholamreza Anbarjafari, and Cagri Ozcinar, \u201cSatellite Image Contrast Enhancement Using Discrete Wavelet Transform and Singular Value Decomposition\u201d, <em>IEEE Geoscience and Remote Sensing Letter<\/em>, April 2010, Vol. 7, No. 2, pp. 334-338.<\/span><\/p><p style=\"text-align: justify\"><span style=\"color: #000000\">The attached p-file is simulating a state-of-the-art technique called Gaussian distribution mapping based contrast enhancement.\u00a0<\/span><\/p><br><div class=\"wp-block-group attached-files-group is-layout-constrained wp-block-group-is-layout-constrained\"><div class=\"wp-block-file\"><a href=\"https:\/\/sisu.ut.ee\/wp-content\/uploads\/sites\/105\/sve.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">sve.pdf<\/a><\/div><div class=\"wp-block-file\"><a href=\"https:\/\/sisu.ut.ee\/wp-content\/uploads\/sites\/105\/vid_lecture06fin.ppt\" target=\"_blank\" rel=\"noreferrer noopener\">Lecture_06.ppt<\/a><\/div><div class=\"wp-block-file\"><a href=\"https:\/\/sisu.ut.ee\/wp-content\/uploads\/sites\/105\/illu_enhancement.zip\" target=\"_blank\" rel=\"noreferrer noopener\">Gaussian Distribution Mapping<\/a><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>If the contrast of an image is highly concentrated on a specific range, e.g. an image is very dark; the information may be lost in those areas which are excessively and uniformly concentrated. The problem is to optimize the contrast &#8230;<\/p>\n","protected":false},"author":40,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":2,"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":71,"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/pages\/10\/revisions\/71"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/imageprocessing\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}