Paper
30 October 1975 An Investigation Of MSE Contributions In Transform Image Coding Schemes
John R. Parsons, Andrew G. Tescher
Author Affiliations +
Abstract
The mean square error (MSE) is a classical measure of image distortion. However, this metric is generally not a faithful indication of subjective image quality. We attempt to correct this deficiency by addressing the individual error sources in transform image coding. Specifically, the component of the MSE introduced by transform coefficient deletion is separated from requantization effects. Results are demonstrated in both numerical and pictorial form.
© (1975) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John R. Parsons and Andrew G. Tescher "An Investigation Of MSE Contributions In Transform Image Coding Schemes", Proc. SPIE 0066, Efficient Transmission of Pictorial Information, (30 October 1975); https://doi.org/10.1117/12.965364
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Image compression

Image quality

Image transmission

Quantization

Image filtering

Error analysis

Distortion

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