Implementation of a real-time software-only image smoothing filter for a block-transform video codec

Wesley F. Miaw; Lawrence A. Rowe

doi:10.1117/12.476438

7 May 2003 Implementation of a real-time software-only image smoothing filter for a block-transform video codec

Wesley F. Miaw, Lawrence A. Rowe

Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476438
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

The JPEG compression standard is a popular image format. However, at high compression ratios JPEG compression, which uses block-transform coding, can produce blocking artifacts, or artificially introduced edges within the image. Several post-processing algorithms have been developed to remove these artifacts. This paper describes an implementation of a post-processing algorithm developed by Ramchandran, Chou, and Crouse (RCC) which is fast enough for real-time software-only video applications. The original implementation of the RCC algorithm involved calculating thresholds to identify artificial edges. These calculations proved too expensive for use in real-time software-only applications. We replaced these calculations with a linear scale approximating ideal threshold values based on a combination of peak signal-to-noise ratio calculations and subjective visual quality. The resulting filter implementation is available in the widely-deployed Open Mash streaming media toolkit.

Citation Download Citation

Wesley F. Miaw and Lawrence A. Rowe "Implementation of a real-time software-only image smoothing filter for a block-transform video codec", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476438

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