2008 Congress on Image and Signal Processing 2008
DOI: 10.1109/cisp.2008.45
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A Fast and Efficient Spatial Error Concealment for Intra-coded Frames

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Cited by 9 publications
(25 citation statements)
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“…This paper presents three different modifications on the fast and efficient spatial error concealment algorithm proposed in [1] by using bilinear and directional interpolations in order to achieve better subjective and objective quality. Experimental results indicate that the proposed algorithms are obviously subjectively and objectively superior to the original fast and efficient spatial error concealment algorithm proposed in [1]. …”
mentioning
confidence: 86%
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“…This paper presents three different modifications on the fast and efficient spatial error concealment algorithm proposed in [1] by using bilinear and directional interpolations in order to achieve better subjective and objective quality. Experimental results indicate that the proposed algorithms are obviously subjectively and objectively superior to the original fast and efficient spatial error concealment algorithm proposed in [1]. …”
mentioning
confidence: 86%
“…In this paper, we present three different modifications of the algorithm presented in [1] for enhancing subjective and objective qualities.…”
Section: Introductionmentioning
confidence: 99%
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“…Common compression artifacts such as blockiness (or block distortion), and blur (loss in the detail that occurs around edges, typically due to the quantization of transform coefficients representing higher frequencies) were also evaluated. The first test was done without any Intra-coded macro-blocks (MBs), and the second test was done with Intra-coded MBs, which are used in H.264 encoding to prevent error propagation (Shi et al, 2008). The results of the tests are presented in Figures 5, through 8, and Table 5.…”
Section: Error Control and Concealment Evaluationmentioning
confidence: 99%
“…Several techniques considering the edges of the image have been reported to solve the problem [18,20]. A small neighborhood of correctly received pixels to find the directions of edges passing through the missing block was utilized [13,14]. Interpolation can be applied not only to the spatial domain but also to the spectral domain such as the discrete cosine transform (DCT) domain [3].…”
Section: Spatial or Spectral Loss Concealmentmentioning
confidence: 99%