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13 March 1996 Detail-preserving noise filtering using binary index
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Proceedings Volume 2666, Image and Video Processing IV; (1996)
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
While high compression ratio has been achieved using recently developed image coding algorithm, the image restoration is considered as an important subject. We have attempted to restore the images coded by discrete cosine transform (DCT) based coding such as JPEG and MPEG. Some of the conventional adaptive filters are designed to seek a homogeneous region among the predetermined polygonal subregions, then to apply a smoothing operation within the selected subregion. It shall be noted, however, that sometimes the predetermined subregions may be heterogeneous. This fact leads us to a novel idea; instead of examining the predetermined regions, define a lot more flexible region likely to be homogeneous. In order to achieve this, we introduce the binary index: each pixel is classified into either the lower intensity group or higher intensity group based on local statistics. Then a smoothing operation is applied within the pixels having the same group index as the pixel to be processed. Thus our scheme can seek a homogeneous region appropriately. Another advantage is that it can be realized with significantly low computations. It is shown that this approach can suppress the visible artifacts while retaining the fine details such as edge and texture.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuji Itoh "Detail-preserving noise filtering using binary index", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996);

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