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.
 

Index Terms—Image coding, mathematical transform, Inverse Discrete Sine Transform (IDST), All Phase Biorthogonal Transform (APBT), All Phase Inverse Discrete Sine Biorthogonal Transform (APIDSBT)

Cite: Xiao Zhou, Chengyou Wang, and Baochen Jiang, "All Phase Inverse Discrete Sine Biorthogonal Transform and Its Application in Image Coding," Journal of Communications, vol. 12, no. 1, pp. 72-80, 2017. Doi: 10.12720/jcm.12.1.72-80