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Proceedings ArticleDOI

Medical image compression using cubic spline interpolation for low bit-rate telemedicine applications

Trieu-Kien Truong, +1 more
- Vol. 6145, Iss: 31, pp 103-107
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TLDR
Experimental results show that the proposed scheme can increase 25~30% compression ratio of original JPEG medical data compression system with similar visual quality.
Abstract
In this paper, a new medical image compression algorithm using cubic spline interpolation (CSI) is presented for telemedicine applications. 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 a better quality of reconstructed image than the standard JPEG and JPEG2000 codecs. This paper further makes use of the modified JPEG codec to medical image compression. Experimental results show that the proposed scheme can increase 25~30% compression ratio of original JPEG medical data compression system with similar visual quality. This system can reduce the loading of telecommunication networks and is quite suitable for low bit-rate telemedicine applications.

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Citations
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Journal ArticleDOI

Improvement of JPEG for Color Images by Incorporation of CAM02-UCS and Cubic Spline Interpolation

TL;DR: This research investigated the improvement of JPEG compression algorithm by incorporating cubic spline interpolation (CSI) in the sampling stage and four different color spaces in the color space transformation stage to improve its performance in terms of compressibility and quality.
References
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Journal ArticleDOI

Cubic convolution interpolation for digital image processing

TL;DR: It can be shown that the order of accuracy of the cubic convolution method is between that of linear interpolation and that of cubic splines.
Book

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TL;DR: This chapter discusses JPEG Syntax and Data Organization, the history of JPEG, and some of the aspects of the Human Visual Systems that make up JPEG.
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TL;DR: The goal of this study was to present a comprehensive catalogue of methods in a uniform terminology, to define general properties and requirements of local techniques, and to enable the reader to select that method which is optimal for his specific application in medical imaging.
Journal ArticleDOI

Cubic splines for image interpolation and digital filtering

TL;DR: Applications to image and signal processing include interpolation, smoothing, filtering, enlargement, and reduction, and experimental results are presented for illustrative purposes in two-dimensional image format.

B-spline signal processing: part ii-efficient design and applications

TL;DR: This paper describes a class of recursive filtering algorithms for the efficient implementation of B-spline inter- polation and approximation techniques and shows how to con- struct a cubic spline image pyramid that minimizes the loss of information in passage from one resolution level to the next.