A fast and robust OSRAD filter for telemedicine applications. Issue 1 (2nd January 2021)

• Record Type: Journal Article
• Authors: Hadj Fredj, Amira; Malek, Jihene
• Is Part Of: International journal of computers and applications. Volume 43:Issue 1(2021)
• Page Start: 70
• Page End: 79
• Publication Date: 2021-01-02
• Subjects: Anisotropic diffusion -- denoising -- parallel processing -- telemedicine applications -- fast implementation; Computers -- Periodicals; Computer software -- Periodicals; Computer networks -- Periodicals; Multimedia systems -- Periodicals; Internet -- Periodicals; World Wide Web -- Periodicals; Minicomputers -- Periodicals; Microcomputers -- Periodicals; 004.05
• DOI: 10.1080/1206212X.2018.1512235
• Languages: English
• ISSNs: 1206-212X

Abstract

Abstract : Noise removal is a fundamental preprocessing step. Denoising image sequences have a significant real-time positive impact on telemedicine fields. The main objective is to improve the quality of resultant frames. This work introduces an anisotropic diffusion filter. The latter works properly when denoising images with multiplicative noise. Nevertheless, this filter cannot be appropriate for real-time implementation due to its algorithmic complexity. The purpose of our study is to achieve a high-performance gain for the anisotropic diffusion filter utilizing a graphics processor unit. It is demonstrated by the experimental results that our presented method is so effective for real-time video processing. The denoising result achieves up to 30 frames per second for a video sequence of the size of 960 × 720 pixels. To evaluate performance, some metrics such as PSNR, SSIM, FOM, and IQI are calculated. Compared to other denoising methods, our results show a good quality of video frame, which is very interesting in the medical area.