Contrast enhancement and denoising of Poisson and Gaussian mixture noise for solar images

Processing of solar image data has become increasingly important for accurate space weather prediction and expanding our understanding about the Sun and Universe. To enable proper analysis, image denoising and contrast enhancement are essential for removal of all artifacts introduced within the acqu...

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Bibliographic Details
Main Authors: Begovic, B., Stankovic, V., Stankovic, L.
Format: Conference Proceeding
Language:English
Subjects:
contrast enhancement
Dictionaries
Gaussian noise
Image denoising
image enhancement
Noise measurement
Noise reduction
solar images
sparse coding
Transforms
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Summary:Processing of solar image data has become increasingly important for accurate space weather prediction and expanding our understanding about the Sun and Universe. To enable proper analysis, image denoising and contrast enhancement are essential for removal of all artifacts introduced within the acquisition process. Hence, this paper focuses on these two tasks applied on solar images corrupted with pixel dependent Poisson and zero-mean additive Gaussian noise. The denoising frameworks are build upon on two state-of-the-art techniques, K-SVD and BM3D (for natural images) where contrast enhancement of noisy solar images is performed jointly with noise removal using sparse coding adaptive dictionary learning. Results are given for two conventional sets of solar images.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2011.6115829