1 August 1994 Standard wavelet basis compression of images
Joel A. Rosiene, Ian R. Greenshields
Author Affiliations +
Abstract
A new image compression technique that uses what has been termed the "standard wavelet representation" of a function is presented. We show that this representation of an image leads to a subdivision of the frequency domain that is well structured and has smaller divisions than the "nonstandard wavelet representation" (multiscale decomposition) of a function. This allows for a more judicious selection of frequency information that may lead to better compression characteristics.
Joel A. Rosiene and Ian R. Greenshields "Standard wavelet basis compression of images," Optical Engineering 33(8), (1 August 1994). https://doi.org/10.1117/12.177116
Published: 1 August 1994
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CITATIONS
Cited by 4 scholarly publications and 2 patents.
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KEYWORDS
Wavelets

Image compression

Quantization

Signal to noise ratio

Computer programming

Image processing

Image quality standards

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