1 February 2005 Artifact reduction with diffusion preprocessing for image compression
Ivan Kopilovic, Tamas Sziranyi
Author Affiliations +
Abstract
We evaluate a preprocessing method for image compression artifact reduction based on nonlinear diffusion filtering that we proposed earlier. The method consists of using edge-adaptive diffusion processes before the discrete cosine transform (DCT)-JPEG compression. By using a simple measure for artifact reduction, we show that considerable artifact reduction is achieved with preprocessing at the same bit rate as, and with no greater error than, the original compression. We also show that preprocessing helps to preserve the true contours for image processing applications. An automatic parameter selection for the preprocessing is also proposed, considering the edge histogram of the image and depending on the compression ratio. We test the method for visual quality with extensive subjective measurements. We show that, depending on the image content, preprocessing can significantly improve the visual quality at low bit rates.
©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ivan Kopilovic and Tamas Sziranyi "Artifact reduction with diffusion preprocessing for image compression," Optical Engineering 44(2), 027003 (1 February 2005). https://doi.org/10.1117/1.1849242
Published: 1 February 2005
Lens.org Logo
CITATIONS
Cited by 16 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Diffusion

Image quality

Visualization

Image processing

Optical engineering

Image filtering

RELATED CONTENT


Back to Top