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Bayer patterned image compression based on APIDCBT-JPEG and all phase IDCT interpolation

机译:基于APIDCBT-JPEG的拜耳图案图像压缩和所有相位IDCT插值

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In recent years, the algorithm of Bayer patterned image compression based on “structure separation” has achieved better image quality. On the basis of previous work, the algorithm based on the All Phase Inverse Discrete Cosine Biorthogonal Transform (APIDCBT) and All Phase IDCT (APIDCT) interpolation is proposed in this paper. Instead of the conventional Discrete Cosine Transform (DCT), the APIDCBT is applied to the JPEG image compression (APIDCBT-JPEG), which significantly reduces complex multiplications and makes the quantization table simpler. Two kinds of interpolation methods to the decompressed image data are also discussed in this paper, including bilinear interpolation and the novel interpolation method based on APIDCT. Experimental results show that the proposed algorithm outperforms the algorithm based on “structure separation”; and the APIDCT interpolation performs close to the bilinear interpolation method and behaves better than it at high bit rates.
机译:近年来,基于“结构分离”的拜耳图案图像压缩算法实现了更好的图像质量。在上一项工作的基础上,本文提出了基于全相位逆离散余弦双正交变换(APIDCBT)和所有相位IDCT(APIDCT)内插的算法。代替传统的离散余弦变换(DCT),将APIDCBT应用于JPEG图像压缩(APIDCBT-JPEG),其显着降低了复杂的乘法并使量化表更简单。本文还讨论了对解压缩图像数据的两种插值方法,包括基于APIDCT的双线性插值和新颖的插值方法。实验结果表明,该算法基于“结构分离”的算法优于算法;并且APIDCT插值靠近Bilinear插值方法,并且表现得比高比特率更好。

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