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Spatio-temporal algorithm for coding artifacts reduction in highly compressed video

100%

Fedak V.

Images and video are often coded using block-based discrete cosine transform (DCT) or discrete wavelet transform (DWT) which cause a great deal of visual distortions. Restoration of image sequences can obtain better results compared to restoring each image individually, provided that the temporal redundancy is adequately used. In this article, efficient approach for artifacts reduction has been presented. In order to enhance the overall video quality, the proposed approach uses image sequence redundancy. Spatial and temporal information is used for the video de-noising process.

Adaptive wavelet thresholding for image denoising using sure minimization and clustering of wavelet coefficients

63%

Fedak V. , Nakonechnyy A.

Images and video are often coded using block-based discrete cosine transform (DCT) or discrete wavelet transform (DWT) which cause a great deal of visual distortions. In this paper, an extension of the intra-scale dependencies of wavelet coefficients is proposed to improve denoising performance. This method incorporates information on neighbouring wavelet coefficients that are inside of manually created clusters. Extensive experimental results are given to demonstrate the strength of the proposed method.