Paper
1 June 1991 New approach to image coding using 1-D subband filtering
Tian-Hu Yu, Sanjit K. Mitra
Author Affiliations +
Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45406
Event: Electronic Imaging '91, 1991, San Jose, CA, United States
Abstract
Conventional subband coding for image data compression uses 2D separable QMF banks in which the analysis and synthesis filters are composed of 1D filters. Such an implementation produces a large size output image as a result of the convolution process. Various signal extension methods have been proposed to solve this problem. However, these methods have one or more of the following drawbacks: generation of boundary noise, inability to guarantee aliasing cancellation, and increased computation complexity. In this paper, we present an alternative solution to the problem by converting a 2D image array to a 1D array and then using a 1D QMF bank to process the 1D signal. In our approach, most of the above drawbacks mentioned above are eliminated. In addition, our approach offers more flexibility in the type of the filter that can be implemented.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tian-Hu Yu and Sanjit K. Mitra "New approach to image coding using 1-D subband filtering", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45406
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KEYWORDS
Image compression

Image filtering

Image processing

Signal processing

Interference (communication)

Electronic filtering

Quantization

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