Paper
19 May 1999 Blockiness in JPEG-coded images
Lydia Meesters, Jean-Bernard Martens
Author Affiliations +
Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348446
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
In two experiments, dissimilarity data and numerical scaling data were obtained to determine the underlying attributes of image quality in baseline sequential JPEG coded imags. Although several distortions were perceived, i.e., blockiness, ringing and blur, the subjective data for all attributes where highly correlated, so that image quality could approximately be described by one independent attribute. We therefore proceeded by developing an instrumental measure for one of these distortions, i.e., blockiness. In this paper a single-ended blockiness measure is proposed, i.e., one that uses only the coded image. Our approach is therefore fundamentally different from most image quality models that use both the original and the degraded image. The measure is based on detecting the low- amplitude edges that result from blocking and estimating the amplitudes. Because of the approximate 1D of the underlying psychological space, the proposed blockiness measure also predicts the image quality of sequential baseline coded JPEG images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lydia Meesters and Jean-Bernard Martens "Blockiness in JPEG-coded images", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348446
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image quality

Edge detection

Image processing

Quantization

Image compression

Data modeling

Visualization

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