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This paper presents multi-scale edge detection method using an undecimated Haar wavelet transform. The use of undecimated transform improves the localization of detected edges when compared to the classical, decimated Haar wavelet transform. The presented method tracks for edges that exist at several dyadic scales, favoring edges at larger scales. Edge points are obtained by non-maximum suppression...
The paper presents an effective and fast postprocessing technique for blocking artifacts removal in low bit-rate video. The technique utilizes one-dimensional filtering based on the characteristics of the decoded video, without any knowledge about the coding parameters. In the first phase it performs detection of presence of the blocking artifacts, while in the second phase adaptive directional filtering...
An effective compression artifacts removal algorithm is proposed based on the theory of projections onto convex sets (POCS). It includes a block classification procedure, a ringing detection procedure, prediction of the spatial distribution of the quantization errors and estimation of the visibility of the compression artifacts. Information gained from both the spatial and transform domains, is incorporated...
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