This paper proposes a new algorithm based on low-rank matrix recovery to remove salt &pepper noise from surveillance video. Unlike single image denoising techniques, noise removal from video sequences aims to util...This paper proposes a new algorithm based on low-rank matrix recovery to remove salt &pepper noise from surveillance video. Unlike single image denoising techniques, noise removal from video sequences aims to utilize both temporal and spatial information. By grouping neighboring frames based on similarities of the whole images in the temporal domain, we formulate the problem of removing salt &pepper noise from a video tracking sequence as a lowrank matrix recovery problem. The resulting nuclear norm and L1-norm related minimization problems can be efficiently solved by many recently developed methods. To determine the low-rank matrix, we use an averaging method based on other similar images. Our method can not only remove noise but also preserve edges and details. The performance of our proposed approach compares favorably to that of existing algorithms and gives better PSNR and SSIM results.展开更多
Multimedia data include text, image, audio and video, etc. Recent deve-lopments and advances in the areas of mass storage technology and high speed networks make it feasible for multimedia computing systems to offer s...Multimedia data include text, image, audio and video, etc. Recent deve-lopments and advances in the areas of mass storage technology and high speed networks make it feasible for multimedia computing systems to offer services such as multimedia e-mail, teleconferencing and various vivid games. The stor-age and retrieval of multimedia data are two of the most important technologies in the future multimedia systems. This paper analyzes the synchronization re-quirements of the delay-sensitive media streams, classifies the synchronization hierarchically and proposes several effective strategies for the intra-media and inter-media data placement problems.展开更多
基金supported by the National Nature Science Foundation of China (Nos. 61332015, 61373078, 61272245, and 61272430)NSFC Joint Fund with Guangdong (No. U1201258)
文摘This paper proposes a new algorithm based on low-rank matrix recovery to remove salt &pepper noise from surveillance video. Unlike single image denoising techniques, noise removal from video sequences aims to utilize both temporal and spatial information. By grouping neighboring frames based on similarities of the whole images in the temporal domain, we formulate the problem of removing salt &pepper noise from a video tracking sequence as a lowrank matrix recovery problem. The resulting nuclear norm and L1-norm related minimization problems can be efficiently solved by many recently developed methods. To determine the low-rank matrix, we use an averaging method based on other similar images. Our method can not only remove noise but also preserve edges and details. The performance of our proposed approach compares favorably to that of existing algorithms and gives better PSNR and SSIM results.
文摘Multimedia data include text, image, audio and video, etc. Recent deve-lopments and advances in the areas of mass storage technology and high speed networks make it feasible for multimedia computing systems to offer services such as multimedia e-mail, teleconferencing and various vivid games. The stor-age and retrieval of multimedia data are two of the most important technologies in the future multimedia systems. This paper analyzes the synchronization re-quirements of the delay-sensitive media streams, classifies the synchronization hierarchically and proposes several effective strategies for the intra-media and inter-media data placement problems.
