Paper
18 January 2010 Removal of blocking and ringing artifacts in JPEG-coded images
Author Affiliations +
Proceedings Volume 7537, Digital Photography VI; 75370O (2010) https://doi.org/10.1117/12.838447
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
The paper relates to a method for effective reduction of artifacts, caused by lossy compression algorithms based on block-based discreet cosine transform (DCT) coding, known as JPEG coding. Most common artifacts produced by such type of coding, are blocking and ringing artifacts. To reduce the effect of coding artifacts caused by significant information loss, a variety of different algorithms and methods has been suggested. However, the majority of solutions propose to process all blocks in the image, which leads to increase of processing time, required resources, as well as image over-blurring after processing of blocks, not affected by blocking artifacts. Techniques for ringing artifact detection usually rely on edge-detection step, a complicated and versatile procedure with unknown optimal parameters. In this paper we describe very effective procedures for detection of artifacts, and their subsequent correction. This approach helps to save notable amount of computational resources, since not all the blocks are involved in correction procedures. Detection steps are performed in frequency domain, using only DCT coefficients of an image. Numerous examples have been analyzed and compared with the existent solutions, and results prove the effectiveness of proposed technique.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ekaterina V. Tolstaya, Michael N. Rychagov, Sang Ho Kim, and Don Chul Choi "Removal of blocking and ringing artifacts in JPEG-coded images", Proc. SPIE 7537, Digital Photography VI, 75370O (18 January 2010); https://doi.org/10.1117/12.838447
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image processing

Image filtering

Image compression

Image quality

Quantization

Image enhancement

Edge detection

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