1 August 2001 Fuzzy control of subband coded image quality using standard and fuzzy quality measure
Peter Planinsic, Bojan Gergic, Dusan Gleich, Zarko Cucej
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We propose a method for subband coded image quality supervision using a closed loop fuzzy controller for adjusting the quantization steps. As a measure of the image quality used in the control loop, we first use the standard quadratic quality measure SNR in decibels. We then expand this measure using the compression ratio in a novel quality measure that is designed on the basis of subjective experiments and implemented with fuzzy logic. Our results demonstrate the superior performance of the proposed fuzzy quality measure over the standard SNR quality measure in terms of correlation with the subjective impression of compressed images. The proposed method should prove to be useful, especially for natural images that have decaying power spectral density.
©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Peter Planinsic, Bojan Gergic, Dusan Gleich, and Zarko Cucej "Fuzzy control of subband coded image quality using standard and fuzzy quality measure," Optical Engineering 40(8), (1 August 2001). https://doi.org/10.1117/1.1386368
Published: 1 August 2001
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Image compression

Signal to noise ratio

Quality measurement

Fuzzy logic

Quantization

Distortion

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