An algorithm for improving the quality of compacted JPEG image by minimizes the blocking artifacts
Sukhpal Singh

TL;DR
This paper introduces a deblocking algorithm that reduces JPEG compression artifacts by detecting and smoothing block boundaries, improving image quality without excessive blurring.
Contribution
The proposed algorithm effectively minimizes blocking artifacts in JPEG images through edge detection and targeted filtering, outperforming previous smoothing approaches.
Findings
Significant reduction in blocky artifacts observed
Improved subjective and objective image quality
Effective preservation of high-contrast edges
Abstract
The Block Transform Coded, JPEG- a lossy image compression format has been used to keep storage and bandwidth requirements of digital image at practical levels. However, JPEG compression schemes may exhibit unwanted image artifacts to appear - such as the 'blocky' artifact found in smooth/monotone areas of an image, caused by the coarse quantization of DCT coefficients. A number of image filtering approaches have been analyzed in literature incorporating value-averaging filters in order to smooth out the discontinuities that appear across DCT block boundaries. Although some of these approaches are able to decrease the severity of these unwanted artifacts to some extent, other approaches have certain limitations that cause excessive blurring to high-contrast edges in the image. The image deblocking algorithm presented in this paper aims to filter the blocked boundaries. This is…
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Image Processing Techniques · Image and Video Quality Assessment
