Online adaptive histogram equalization
It is well known that quantization degrades information. Therefore, it is much better to enhance the contrast based on the original analog signal at the image sensor. For combining quantization and histogram equalization, we propose a fully adaptive online technique and its analog switched-capacitor...
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Published in | Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378) pp. 531 - 538 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1998
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Subjects | |
Online Access | Get full text |
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Abstract | It is well known that quantization degrades information. Therefore, it is much better to enhance the contrast based on the original analog signal at the image sensor. For combining quantization and histogram equalization, we propose a fully adaptive online technique and its analog switched-capacitor implementation. As a result, the equalized image is constructed sequentially during image scanning. |
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AbstractList | It is well known that quantization degrades information. Therefore, it is much better to enhance the contrast based on the original analog signal at the image sensor. For combining quantization and histogram equalization, we propose a fully adaptive online technique and its analog switched-capacitor implementation. As a result, the equalized image is constructed sequentially during image scanning. |
Author | Martinez, D. |
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PublicationTitle | Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378) |
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Snippet | It is well known that quantization degrades information. Therefore, it is much better to enhance the contrast based on the original analog signal at the image... |
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StartPage | 531 |
SubjectTerms | Adaptive equalizers Concurrent computing Data compression Degradation Digital images Helium Histograms Image sensors Quantization Signal processing |
Title | Online adaptive histogram equalization |
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