| 摘要 |
An improved block noise elimination method is provided, which uses one-dimensional pixel vectors made of pixel rows or columns across two neighboring blocks to analyze blocky noise residing across the neighboring blocks. The blocky noise in each pixel-vector is modeled as shape vector multiplied by boundary discontinuity. The shape vector, varying with local image activity, is estimated by Minimum Mean Squared Error (MMSE) approach. Depending upon the shape vector, the corresponding blocky noise is eliminated in postprocessing of decoded images so that encoded images may be restored to their original images.
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