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Statistical model of natural images

Abstract : We propose a statistical model of natural images in JPEG format. The image acquisition is composed of three principal stages. First, a RAW image is obtained from sensor of Digital Still Cameras (DSC). Then, the RAW image is subject to some post-acquisition processes such as demosaicking, white-balancing and γ-correction to improve its visual quality. Finally, the processed images goes through the JPEG compression process. For each step of image processing chain, a statistical study of pixels' properties is performed to finally obtain a model of Discrete Cosine Transform (DCT) coefficients distribution.
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https://hal-utt.archives-ouvertes.fr/hal-02362386
Contributor : Jean-Baptiste VU VAN Connect in order to contact the contributor
Submitted on : Wednesday, November 13, 2019 - 7:04:07 PM
Last modification on : Wednesday, August 31, 2022 - 6:56:07 PM

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Thanh Hai Thai, Florent Retraint, Rémi Cogranne. Statistical model of natural images. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Sep 2012, Orlando, United States. pp.2525-2528, ⟨10.1109/ICIP.2012.6467412⟩. ⟨hal-02362386⟩

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