Paper
30 October 1975 Bandwidth Compression Of Multispectral Data
A. Habibi, A. S. Samulon
Author Affiliations +
Abstract
The coding methods suitable for bandwidth compression of multispectral imagery are considered. These methods are compared using various criteria of optimality such as MSE,signal-to-noise ratio, recognition accuracy, as well as computational complexity. Based on these results the candidate methods are reduced to three recommended methods. These are KL-2 Dimensional DPCM, KL-cosine-DPCM and a cluster coding method. The performance of the recommended methods are examined in the presence of a noisy channel and concatenated with a variable rate (Huffman) encoder.
© (1975) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Habibi and A. S. Samulon "Bandwidth Compression Of Multispectral Data", Proc. SPIE 0066, Efficient Transmission of Pictorial Information, (30 October 1975); https://doi.org/10.1117/12.965346
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Computer programming

Image compression

Multispectral imaging

Data compression

Distortion

Signal to noise ratio

Image classification

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