All Phase Inverse Discrete Sine Biorthogonal Transform and Its Application in Image Coding

Abstract

To improve the coding performance in JPEG image compression and reduce the computational complexity, this paper proposes a new transform called All Phase Inverse Discrete Sine Biorthogonal Transform (APIDSBT) based on the All Phase Biorthogonal Transform (APBT) and Inverse Discrete Sine Transform (IDST). Similar to Discrete Sine Transform (DST) matrix and Discrete Cosine Transform (DCT) matrix, it can be used in image compression which transforms the image from spatial domain to frequency domain. Compared with other transforms in JPEG-like image compression algorithm, the Peak Signal-to-Noise Ratio (PSNR) and subjective effects of the reconstructed images using the proposed transform and image coding scheme are better at the same bit rates, especially at low bit rates. The advantage is that the quantization process is simpler and the computational complexity is lower.

Interpolation Filter Design Based on All-Phase DST and Its Application to Image Demosaicking

“…It also uses 4 × 4, 8 × 8, 16 × 16, and 32 × 32 transform unit (TU) sizes. Zhou et al [3] provided a more detailed overview of the mathematical transforms used in image and video coding. In recent years, to provide a significant improvement in compression performance over HEVC, the joint video experts team (JVET) has launched a project to develop a future video coding (FVC) standard H.266 termed versatile video coding (VVC).…”