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Proceedings Paper

Adaptive image coding based on cubic-spline interpolation
Author(s): Jian-Xing Jiang; Shao-Hua Hong; Tsung-Ching Lin; Lin Wang; Trieu-Kien Truong
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Paper 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.

Paper Details

Date Published: 23 September 2014
PDF: 7 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171U (23 September 2014); doi: 10.1117/12.2062984
Show Author Affiliations
Jian-Xing Jiang, Xiamen Univ. (China)
Shao-Hua Hong, Xiamen Univ. (China)
Tsung-Ching Lin, I-Shou Univ. (Taiwan)
Lin Wang, Xiamen Univ. (China)
Trieu-Kien Truong, I-Shou Univ. (Taiwan)
National Sun Yat-sen Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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