Paper
1 November 1992 Error-free transform coding by maximum-error-limited quantization of transform coefficients
Gopinath R. Kuduvalli, Rangaraj M. Rangayyan
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131417
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
In this paper, we describe a new technique for encoding transform coefficients for error-free image compression with very little overhead in transmitting the error images. In traditional schemes for error-free transform coding, a fixed total number of bits is allocated for encoding the transform coefficients, and the difference image is encoded by a lossless encoding method. The total number of bits allocated to encode the transform coefficients is varied until the total average bit rate is minimized. In the present scheme, the quantization error for each transform coefficient is monitored, and additional bits are allocated to reduce this quantization error to less than a pre-specified maximum value. It is shown that the reconstructed image from transform coefficients quantized using this scheme will consist of only a negligible number of pixels in error by more than the pre-specified maximum value. This results in very little overhead for encoding the error image. The results of application of this method on a standard image and digitized mammograms are presented.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gopinath R. Kuduvalli and Rangaraj M. Rangayyan "Error-free transform coding by maximum-error-limited quantization of transform coefficients", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131417
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Cited by 1 scholarly publication.
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KEYWORDS
Computer programming

Quantization

Image compression

Mammography

Image processing

Image transmission

Visual communications

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