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Image Coding Algorithm Based on All Phase Walsh Biorthogonal Transform

机译:基于全相位沃尔什双正交变换的图像编码算法

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摘要

This paper proposes new concepts of the all phase Walsh biorthogonal transform (APWBT) and the dual biorthogonal basis vectors based on the Walsh-Hadamard transform. The matrices of APWBT are deduced. They can be used in image compression instead of the discrete cosine transform (DCT). Compared with DCT in JPEG image compression algorithm, the PSNRs of the reconstructed images using the transform are the same as DCT''s at the same bit rates, but the advantage is that the quantization is very simple. The transform coefficients can be quantized uniformly. Therefore the computational complexity is reduced and it is much easier to realize with the hardware.
机译:本文提出了全相位Walsh双正交变换(APWBT)的新概念以及基于Walsh-Hadamard变换的双双正交基向量。推导了APWBT的矩阵。它们可以用于图像压缩,而不是离散余弦变换(DCT)。与JPEG图像压缩算法中的DCT相比,使用该变换重建的图像的PSNR在相同的比特率下与DCT相同,但优点是量化非常简单。变换系数可以被均匀地量化。因此,降低了计算复杂性,并且使用硬件更容易实现。

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