基于pocs的BDCT压缩图像伪影减少方法

Object recognition supported by user interaction for service robots Pub Date : 2002-12-10 DOI:10.1109/ICPR.2002.1048286

J. Zou, Hong Yan

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引用次数: 1

摘要

应用凸集投影理论(POCS)对块离散余弦变换(BDCT)编码的压缩图像进行块伪影的去除。用三角形网格模拟压缩前的图像，这是提出的平滑约束集的基础。网格是通过将每个块划分为一组三角形来构建的。该方法在主观上和客观上都优于现有的四种方法。

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A POCS-based method for reducing artifacts in BDCT compressed images

The theory of projection onto convex sets (POCS) is applied to reduce blocking artifacts in compressed images coded by the block discrete cosine transform (BDCT). An image before compression is simulated by a triangular mesh, which is the basis of a proposed smoothness constraint set. The mesh is constructed by dividing each block into a set of triangles. The proposed method outperforms four existing methods subjectively and objectively.

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Object recognition supported by user interaction for service robots

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