一个有效的快速整数DCT变换图像压缩与16加法只有

Nabila Brahimi, S. Bouguezel
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引用次数: 14

摘要

引入了一种新的快速矩阵用于离散余弦变换(DCT),这是图像压缩中特别感兴趣的重要变换。对于8点DCT,考虑到正交性条件,通过在8×8有符号DCT (SDCT)矩阵中适当地引入一些零,只需要16个加法。这项工作的第二个独创性是开发了一个适合于我们提出的变换矩阵的合适的量化矩阵。与JPEG量化矩阵相比,该量化矩阵将峰值信噪比(PSNR)提高了约0.7 dB。
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An efficient fast integer DCT transform for images compression with 16 additions only
A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.
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