Paper
22 August 1995 Preprocessing for improved performance in image and video coding
V. Ralph Algazi, Gary E. Ford, Adel I. El-Fallah, Robert R. Estes Jr.
Author Affiliations +
Abstract
In previous work, we reported on the benefits of noise reduction prior to coding of very high quality images. Perceptual transparency can be achieved with a significant improvement in compression as compared to error free codes. In this paper, we examine the benefits of preprocessing when the quality requirements are not very high, and perceptible distortion results. The use of data dependent anisotropic diffusion that maintains image structure, edges, and transitions in luminance or color is beneficial in controlling the spatial distribution of errors introduced by coding. Thus, the merit of preprocessing is for the control of coding errors. In this preliminary study, we only consider preprocessing prior to the use of the standard JPEG and MPEG coding techniques.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Ralph Algazi, Gary E. Ford, Adel I. El-Fallah, and Robert R. Estes Jr. "Preprocessing for improved performance in image and video coding", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217401
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Distortion

Image compression

Computer programming

Diffusion

Image filtering

Video coding

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