Near lossless medical image compression using JPEG-LS and cubic spline interpolation

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

doi:10.1117/12.794906

3 September 2008 Near lossless medical image compression using JPEG-LS and cubic spline interpolation

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

Proceedings Volume 7072, Optics and Photonics for Information Processing II; 70721G (2008) https://doi.org/10.1117/12.794906
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

In this paper, a near lossless medical image compression scheme combining JPEG-LS with cubic spline interpolation (CSI) is presented. The CSI is developed 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 transform-based image compression algorithm to develop a modified image compression codec, which obtains a higher compression ratio and a better subjective quality of reconstructed image than the standard transform-based codecs. This paper combines the CSI with lossless JPEG-LS to form the modified JPEG-LS scheme and further makes use of this modified codec to medical image compression. By comparing with the JPEG-LS image compression standard, experimental results show that the compression ratio increased over 3 times for the proposed scheme with similar visual quality. The proposed scheme reduces the loading for storing and transmission of image, therefore it is suitable for low bit-rate telemedicine application. The modified JPEG-LS can reduce the loading of storing and transmitting of medical image.

Citation Download Citation

Tsung-Ching Lin, Chien-Wen Chen, Shi-Huang Chen, and Trieu-Kien Truong "Near lossless medical image compression using JPEG-LS and cubic spline interpolation", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70721G (3 September 2008); https://doi.org/10.1117/12.794906

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