JOURNAL ARTICLE

<title>Blockwise distortion measure in image compression</title>

Pasi FräntiTimo KaukorantaOlli Nevalainen

Year: 1996 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2663 Pages: 78-87   Publisher: SPIE

Abstract

The distortion caused by image compression is typically determined by a pixelwise measure such as mean square error. However, these types of measures do not consider global artifacts, like blockiness or blurring. In the present paper an attempt is made to model the distortion by a blockwise measure. A three-parameter distortion function is proposed that measures how well the average intensity, the contrast, and the spatial structure are preserved in the reconstructed image. The distortion in the spatial structure is described by the response of an edge detection operation. The blockwise measure operates with a scrolling block of 3 by 3 pixels to be able to detect distortion beyond the block boundaries.

Keywords:
Distortion (music) Pixel Measure (data warehouse) Distortion function Image (mathematics) Mathematics Artificial intelligence Image compression Data compression Enhanced Data Rates for GSM Evolution Computer vision Algorithm Computer science Image resolution Image processing Telecommunications Decoding methods Bandwidth (computing)

Metrics

1
Cited By
0.48
FWCI (Field Weighted Citation Impact)
0
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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