1996
DOI: 10.1117/12.251309
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<title>Quality improvement of low-data-rate compressed video signals by pre- and postprocessing</title>

Abstract: In this paper a technique for improving the image quality of block-based video coders is presented which combines the following pre-and postprocessing steps: Before the coding process, the image sharpness is enhanced by applying a special prefilter to the original image. By this means a possible degradation of the image sharpness by the coder will be compensated. The decoder output is smoothed by a lowpass filter which reduces artifacts such as block discontinuities.Secondly, the quantization error of the freq… Show more

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Cited by 5 publications
(3 citation statements)
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“…been followed in [6], where the quantization noise of DCT coefficients is shifted from the block boundaries to the inner part of the block. Other proposals employ Dolby-like noise suppression techniques for reduction of blocking artifacts [7]. Although such noise shaping requires a matched receiver for best performance, a standardized receiver which does not know about the encoder modifications can still decode an image of reasonable quality.…”
Section: Introductionmentioning
confidence: 99%
“…been followed in [6], where the quantization noise of DCT coefficients is shifted from the block boundaries to the inner part of the block. Other proposals employ Dolby-like noise suppression techniques for reduction of blocking artifacts [7]. Although such noise shaping requires a matched receiver for best performance, a standardized receiver which does not know about the encoder modifications can still decode an image of reasonable quality.…”
Section: Introductionmentioning
confidence: 99%
“…At low bit rates, when adequate residual coding cannot be performed, this results in perceptually unacceptable performance. The usual fix for this situation is to use a pre-or post-processing filter which smoothes the block artifacts [13], [14]. Such filtering typically leads to a blurring of the true image edges in addition to a reduction of the block artifacts.…”
Section: A Related Previous Workmentioning
confidence: 99%
“…The prediction of the DCT coefficients is useful also in combination with other algorithms for image improvement. The authors demonstrate an example in [19].…”
Section: Figmentioning
confidence: 96%