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

Abstract

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.