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Efficient block-based coding of noise images by combining pre-filtering and DCT

机译:通过将预滤波和DCT相结合,对噪声图像进行基于块的高效编码

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A conventional image coder, such as JPEG, requires not only DCT and quantization but also additional pre-filtering under noisy environment. Since the pre-filtering removes camera noise and improves coding efficiency dramatically, its efficient implementation has been an important issue. Based on well-known noise removal techniques in image processing fields, this paper introduces an efficient scheme by adapting a noise removal procedure to block-based image coders. By using two-dimensional DCT factorization, the proposed image coder has only a modified DCT and a VLC, and performs pre-filtering and quantization simultaneously in the modified DCT operation.
机译:诸如JPEG之类的常规图像编码器不仅需要DCT和量化,还需要在嘈杂环境下进行额外的预滤波。由于预滤波消除了相机噪声并极大地提高了编码效率,因此有效实施已成为一个重要问题。基于图像处理领域中众所周知的噪声去除技术,本文通过将噪声去除过程适应于基于块的图像编码器,介绍了一种有效的方案。通过使用二维DCT分解,提出的图像编码器仅具有修改的DCT和VLC,并且在修改的DCT操作中同时执行预滤波和量化。

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