JOURNAL ARTICLE

<title>Multigeneration of transform-coded images</title>

H. SorialWilliam E. Lynch

Year: 1997 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3024 Pages: 1394-1405   Publisher: SPIE

Abstract

Multigeneration is the repeated compression-decompression of images. Under a compression scheme like transform coding, reconstructed images suffer further degradation at each generation, even though there is no manipulation of the image data. This paper describes multigeneration characteristics of transform coded images. We also study motion compensated coding in a multigeneration environment. We present five mechanisms that contribute to the continued degradation in multigeneration: pixel domain quantization (PDQ), pixel domain clipping (PDC), compression control parameters variation (CCPV), motion vector re-estimation (MVR) and error propagation due to motion compensation (EPMC). For PDQ, we show that it is not the step seize of the DCT domain or the pixel domain quantizers that contributes to the saturation of degradation in multigeneration, but instead the ratio between these tow quantizers. We observe that PDC mainly affects the DC coefficient. In CCPV and MVR, multigeneration error is reduced when the quantization scaling parameters and/or the motion vectors of the first generation are used for each subsequent generation. For EPMC, multigeneration errors in reference pictures propagate to frames that are predicted form them. COnsequently, EPMC only multiplies the effect of other mechanisms.

Keywords:
Computer science Quantization (signal processing) Pixel Discrete cosine transform Clipping (morphology) Artificial intelligence Motion vector Computer vision Data compression Coding (social sciences) Motion compensation Transform coding Motion estimation Algorithm Mathematics Image (mathematics) Statistics

Metrics

6
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

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

Related Documents

JOURNAL ARTICLE

<title>Digital Coded Images</title>

Isabelle E. MagninR. GoutteM Amiel

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1983 Vol: 0397 Pages: 268-273
JOURNAL ARTICLE

<title>Transform-domain postprocessing of DCT-coded images</title>

Chung-Nan TienHsueh‐Ming Hang

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1993 Vol: 2094 Pages: 1627-1638
JOURNAL ARTICLE

<title>Blockiness in JPEG-coded images</title>

Lydia MeestersJean-Bernard Martens

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1999 Vol: 3644 Pages: 245-257
JOURNAL ARTICLE

<title>Coded holography for Walsh transform and Haar transform</title>

J. Ben Uri

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1993 Vol: 1732 Pages: 209-216
JOURNAL ARTICLE

<title>Nonlinear interpolative decoding of standard transform coded images and video</title>

Siu-Wai WuA. Gersho

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 1992 Vol: 1657 Pages: 88-99
© 2026 ScienceGate Book Chapters — All rights reserved.