Adaptive image coding based on cubic-spline interpolation

Jian-Xing Jiang; Shao-Hua Hong; Tsung-Ching Lin; Lin Wang; Trieu-Kien Truong

doi:10.1117/12.2062984

23 September 2014 Adaptive image coding based on cubic-spline interpolation

Jian-Xing Jiang, Shao-Hua Hong, Tsung-Ching Lin, Lin Wang, Trieu-Kien Truong

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 92171U (2014) https://doi.org/10.1117/12.2062984
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

It has been investigated that at low bit rates, downsampling prior to coding and upsampling after decoding can achieve better compression performance than standard coding algorithms, e.g., JPEG and H. 264/AVC. However, at high bit rates, the sampling-based schemes generate more distortion. Additionally, the maximum bit rate for the sampling-based scheme to outperform the standard algorithm is image-dependent. In this paper, a practical adaptive image coding algorithm based on the cubic-spline interpolation (CSI) is proposed. This proposed algorithm adaptively selects the image coding method from CSI-based modified JPEG and standard JPEG under a given target bit rate utilizing the so called ρ-domain analysis. The experimental results indicate that compared with the standard JPEG, the proposed algorithm can show better performance at low bit rates and maintain the same performance at high bit rates.

Citation Download Citation

Jian-Xing Jiang, Shao-Hua Hong, Tsung-Ching Lin, Lin Wang, and Trieu-Kien Truong "Adaptive image coding based on cubic-spline interpolation", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171U (23 September 2014); https://doi.org/10.1117/12.2062984

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