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    Fast blocking and ringing artifacts removal in JPEG-coded images = Fast blocking and ringing artifacts removal in JPEG-coded images

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    https://www.riss.kr/link?id=A82402483

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    The paper relates to a method for effective reduction of artifacts, caused by JPEG coding. Most common artifacts produced by such type of coding, are blocking and ringing artifacts. To reduce the effect of coding artifacts, 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. 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.
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    The paper relates to a method for effective reduction of artifacts, caused by JPEG coding. Most common artifacts produced by such type of coding, are blocking and ringing artifacts. To reduce the effect of coding artifacts, a variety of different algo...

    The paper relates to a method for effective reduction of artifacts, caused by JPEG coding. Most common artifacts produced by such type of coding, are blocking and ringing artifacts. To reduce the effect of coding artifacts, 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. 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.

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