Block Transform Image Compression By Power Spectrum Fitting

Douglas J. Granrath

doi:10.1117/12.946571

11 July 1985 Block Transform Image Compression By Power Spectrum Fitting

Douglas J. Granrath

Proceedings Volume 0534, Architectures and Algorithms for Digital Image Processing II; (1985) https://doi.org/10.1117/12.946571
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States

Abstract

A new approach to the quantization of discrete cosine transformed subimage data is discussed. It is shown that physical modeling of the sensor in combination with a power spectrum model of the scene leads to a direct means of generating the bit and variance maps necessary for coefficient quantization. Preliminary results indicate that good image quality can be maintained down to 1/4 bit-per-pixel, depending upon the Optical Transfer Function (OTF) and scene information content involved. A unique feature of this approach is that algorithm training is unnecessary since the bit and variance maps are computed directly from subimage data.

Citation Download Citation

Douglas J. Granrath "Block Transform Image Compression By Power Spectrum Fitting", Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); https://doi.org/10.1117/12.946571

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