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Image data compression using cubic convolution spline interpolation

delete2000-01-01
delete45
PRE
AI
T
Trieu‐Kien Truong *
W
Wang, LJ
I
I.S. Reed
W
Wen‐Shyong Hsieh
DOI：10.1109/83.877222delete
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Abstract

Abstract

En 中文
A new cubic convolution spline Interpolation (CCSI) for both one-dimensional (1-D) and two-dimensional (2-D) signals is developed in order to subsample signal and image compression data. The CCSI yields a very accurate algorithm for smoothing. It is also shown that this new and fast smoothing filter fur CCSI can be used with the JPEG standard to design an improved JPEG encoder-decoder fur a high compression ratio.
Keywords:
cubic convolution spline interpolation (CCSI)
image compression
JPEG
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

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