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首页> 外文期刊>Chinese Journal of Electronics >A Coding Scheme for Noisy Image Based on Layer Segmentation
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A Coding Scheme for Noisy Image Based on Layer Segmentation

机译：基于分层分割的噪声图像编码方案

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摘要

Heavy noises distribute in the images when imaging in a poor environment. The randomness of noises makes pixels distributing singularly, which weakens the 1-D piecewise smooth property of original scenes. Thus, wavelets-based compression method no longer works well. In this paper, a layer segmentation based compression scheme is proposed for gray images. Image textures and some high frequency noises are described in a high frequency layer while the coarse part of the image is described in the low frequency layer. The high frequency layer is represented by a joint dictionary, and the low frequency layer is coded with the traditional wavelets. The proposed scheme is tested on nature images and synthetic images. The results show that the proposed scheme achieves better rate-distortion performance compared with several competing compression systems. Besides, further degradation of edges is avoided by the proposed compression scheme.
机译：在恶劣的环境中成像时，图像中会散布大量噪点。噪声的随机性使像素分布单一，从而削弱了原始场景的一维分段平滑特性。因此，基于小波的压缩方法不再有效。本文提出了一种基于层分割的灰度图像压缩方案。在高频层中描述图像纹理和一些高频噪声，而在低频层中描述图像的粗糙部分。高频层由联合字典表示，低频层由传统小波编码。该方案在自然图像和合成图像上进行了测试。结果表明，与几种竞争压缩系统相比，该方案具有更好的速率失真性能。此外，通过提出的压缩方案避免了边缘的进一步劣化。

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