Still image compression using cubic spline interpolation with bit-plane compensation

Tsung-Ching Lin; Shi-Huang Chen; Trieu-Kien Truong; Chien-Wen Chen; Chien-Chang Lin

doi:10.1117/12.736000

24 September 2007 Still image compression using cubic spline interpolation with bit-plane compensation

Tsung-Ching Lin, Shi-Huang Chen, Trieu-Kien Truong, Chien-Wen Chen, Chien-Chang Lin

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 669628 (2007) https://doi.org/10.1117/12.736000
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

In this paper, a modified image compression algorithm using cubic spline interpolation (CSI) and bit-plane compensation is presented for low bit-rate transmission. The CSI is developed in order to subsample image data with minimal distortion and to achieve image compression. It has been shown in literatures that the CSI can be combined with the JPEG or JPEG2000 algorithm to develop a modified JPEG or JPEG2000 CODEC, which obtains a higher compression ratio and better quality of reconstructed images than the standard JPEG and JPEG2000 CODECs in low bit-rate range. This paper implements the modified JPEG algorithm, applies bit-plane compensation and tests a few images. Experimental results show that the proposed scheme can increase 25~30% compression ratio of original JPEG data compression system with similar visual quality in low bit-rate range. This system can reduce the loading of telecommunication networks and is quite suitable for low bit-rate transmission.

Citation Download Citation

Tsung-Ching Lin, Shi-Huang Chen, Trieu-Kien Truong, Chien-Wen Chen, and Chien-Chang Lin "Still image compression using cubic spline interpolation with bit-plane compensation", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 669628 (24 September 2007); https://doi.org/10.1117/12.736000

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