An adaptive image frequency subbanding method for high-frequency pixel estimation

Chao Yu Chen, Chao Ho Chen, Tien Hsiang Huang, Chin-Hsing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an adaptive image subbanding method is proposed for high-frequency pixel estimation. The similarity relation between a pixel and its top, down, right and left pixels is exploited to derive adaptive thresholds for classification of different highfrequency bands. Then, high-frequency pixel detection can be applied to estimate impulse-noise ratio in order to select the appropriate working windows for various high-frequency bands. In theory, the appropriate working window used for each band will substantially improve PSNR performance of noise-filtering. Experimental results show that PSNR performance of filtering on the subbanded image is significantly superior to that of non-subbanded image, for improvement of ranging from 0.5dB to 5dB in various corruption rates.

Original languageEnglish
Title of host publicationProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
Pages643-646
Number of pages4
DOIs
Publication statusPublished - 2008 Oct 22
Event2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
Duration: 2008 Aug 152008 Aug 17

Publication series

NameProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Other

Other2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
CountryChina
CityHarbin
Period08-08-1508-08-17

Fingerprint

Pixels
Impulse noise
Frequency bands

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Signal Processing

Cite this

Chen, C. Y., Chen, C. H., Huang, T. H., & Chen, C-H. (2008). An adaptive image frequency subbanding method for high-frequency pixel estimation. In Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008 (pp. 643-646). [4604138] (Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008). https://doi.org/10.1109/IIH-MSP.2008.295
Chen, Chao Yu ; Chen, Chao Ho ; Huang, Tien Hsiang ; Chen, Chin-Hsing. / An adaptive image frequency subbanding method for high-frequency pixel estimation. Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008. 2008. pp. 643-646 (Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008).
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title = "An adaptive image frequency subbanding method for high-frequency pixel estimation",
abstract = "In this paper, an adaptive image subbanding method is proposed for high-frequency pixel estimation. The similarity relation between a pixel and its top, down, right and left pixels is exploited to derive adaptive thresholds for classification of different highfrequency bands. Then, high-frequency pixel detection can be applied to estimate impulse-noise ratio in order to select the appropriate working windows for various high-frequency bands. In theory, the appropriate working window used for each band will substantially improve PSNR performance of noise-filtering. Experimental results show that PSNR performance of filtering on the subbanded image is significantly superior to that of non-subbanded image, for improvement of ranging from 0.5dB to 5dB in various corruption rates.",
author = "Chen, {Chao Yu} and Chen, {Chao Ho} and Huang, {Tien Hsiang} and Chin-Hsing Chen",
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Chen, CY, Chen, CH, Huang, TH & Chen, C-H 2008, An adaptive image frequency subbanding method for high-frequency pixel estimation. in Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008., 4604138, Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008, pp. 643-646, 2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008, Harbin, China, 08-08-15. https://doi.org/10.1109/IIH-MSP.2008.295

An adaptive image frequency subbanding method for high-frequency pixel estimation. / Chen, Chao Yu; Chen, Chao Ho; Huang, Tien Hsiang; Chen, Chin-Hsing.

Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008. 2008. p. 643-646 4604138 (Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - In this paper, an adaptive image subbanding method is proposed for high-frequency pixel estimation. The similarity relation between a pixel and its top, down, right and left pixels is exploited to derive adaptive thresholds for classification of different highfrequency bands. Then, high-frequency pixel detection can be applied to estimate impulse-noise ratio in order to select the appropriate working windows for various high-frequency bands. In theory, the appropriate working window used for each band will substantially improve PSNR performance of noise-filtering. Experimental results show that PSNR performance of filtering on the subbanded image is significantly superior to that of non-subbanded image, for improvement of ranging from 0.5dB to 5dB in various corruption rates.

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Chen CY, Chen CH, Huang TH, Chen C-H. An adaptive image frequency subbanding method for high-frequency pixel estimation. In Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008. 2008. p. 643-646. 4604138. (Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008). https://doi.org/10.1109/IIH-MSP.2008.295