{"id":5234,"date":"2023-08-25T18:32:42","date_gmt":"2023-08-25T18:32:42","guid":{"rendered":"https:\/\/getmyprojects.in\/projects\/?post_type=product&#038;p=5234"},"modified":"2023-10-26T11:40:41","modified_gmt":"2023-10-26T06:10:41","slug":"comparative-analysis-of-median-filter-and-its-variants-for-removal-of-impulse-noise-from-gray-scale-images","status":"publish","type":"product","link":"https:\/\/getmyprojects.in\/projects\/product\/comparative-analysis-of-median-filter-and-its-variants-for-removal-of-impulse-noise-from-gray-scale-images\/","title":{"rendered":"Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"color: #000000;\">Image denoising is a vital pre-processing phase, used to refine the image quality and make it more informative. Many image-denoising algorithms have been proposed with their own pros and cons. This project\u00a0 presents a comprehensive study of the <a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about median filter from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/median-filter\">median filter<\/a>\u00a0and its different variants to reduce or remove the impulse noise from\u00a0<a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about gray scale images from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/gray-scale-images\">gray scale images<\/a>. These filters are compared with respect to their functionality, time complexity and relative performance. For performance evaluation of the existing algorithms, extensive MATLAB based simulations have been carried out on a set of images. For benchmarking the relative performance, we have used Peak\u00a0<a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about Signal to Noise Ratio from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/noise-to-signal-ratio\">Signal to Noise Ratio<\/a>\u00a0(PSNR), Root Mean Square Error (RMSE), Universal Image Quality Index (UQI), Structural Similarity Index (SSIM) and Edge-strength Similarity (ESSIM) as quality assessment metrics.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">presents a comprehensive study of the\u00a0<a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about median filter from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/median-filter\">median filter<\/a>\u00a0and its different variants to reduce or remove the impulse noise from\u00a0<a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about gray scale images from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/gray-scale-images\">gray scale images<\/a>. These filters are compared with respect to their functionality, time complexity and relative performance. For performance evaluation of the existing algorithms, extensive MATLAB based simulations have been carried out on a set of images.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #000000;\">For benchmarking the relative performance, we have used Peak\u00a0<a class=\"topic-link\" style=\"color: #000000;\" title=\"Learn more about Signal to Noise Ratio from ScienceDirect's AI-generated Topic Pages\" href=\"https:\/\/www.sciencedirect.com\/topics\/computer-science\/noise-to-signal-ratio\">Signal to Noise Ratio<\/a>\u00a0(PSNR), Root Mean Square Error (RMSE), Universal Image Quality Index (UQI), Structural Similarity Index (SSIM) and Edge-strength Similarity (ESSIM) as quality assessment metrics.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<table>\n<tbody>\n<tr>\n<th><strong>Project Name<\/strong><\/th>\n<td>Comparative analysis of median filter and its variants for removal of impulse noise from gray scale images<\/td>\n<\/tr>\n<tr class=\"alt\">\n<th><strong>Front End\u00a0<\/strong><\/th>\n<td><\/td>\n<\/tr>\n<tr>\n<th><strong>Back End<\/strong><\/th>\n<td><\/td>\n<\/tr>\n<tr class=\"alt\">\n<th><strong>Software<\/strong><\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":5423,"comment_status":"open","ping_status":"closed","template":"","meta":{"inline_featured_image":false},"product_cat":[106,28],"product_tag":[147,117,148,149,141,150,151,152,153],"_links":{"self":[{"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product\/5234"}],"collection":[{"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/comments?post=5234"}],"version-history":[{"count":3,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product\/5234\/revisions"}],"predecessor-version":[{"id":6400,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product\/5234\/revisions\/6400"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/media\/5423"}],"wp:attachment":[{"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/media?parent=5234"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product_cat?post=5234"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/getmyprojects.in\/projects\/wp-json\/wp\/v2\/product_tag?post=5234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}