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Sensitivity Analysis of Daubechies 4 Wavelet Coefficients for Reduction of Reconstructed Image Error

机译:Daubechies 4小波系数减少重建图像误差的敏感性分析

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Quantization of compressed image file reduces the requirements for memory storage and the transmission bandwidth. However, the cost of quantization is loss of information. On the receiver end when image is reconstructed from lossy de-quantized file using the wavelet reconstruction coefficients, it is impossible to create a perfect image exactly like the original image. This paper records the sensitivity analysis of wavelet coefficients to determine which coefficients contribute to the image reconstruction and in what way and how they should be changed to reconstruct a perfect image. Some interesting findings have been recorded in the conclusion section.
机译:压缩图像文件的量化降低了内存存储和传输带宽的要求。但是,量化成本损失了信息。在使用小波重建系数的从损耗的去量化文件重建图像时,在接收器结束时,无法创建完美的图像与原始图像完全相同。本文记录了小波系数的灵敏度分析,以确定哪些系数有助于图像重建以及如何改变它们以重建完美的图像。一些有趣的调查结果已在结论部分中记录。

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