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 inNeural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378) pp. 531 - 538
Main Author Martinez, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
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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.
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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