Title :
Statistical model of natural images
Author :
Thai, Thanh Hai ; Retraint, Florent ; COGRANNE, Remi
Author_Institution :
ICD, Univ. de Technol. de Troyes, Troyes, France
fDate :
Sept. 30 2012-Oct. 3 2012
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.
Keywords :
data compression; discrete cosine transforms; image coding; image segmentation; statistical analysis; γ-correction; DCT; DSC; JPEG compression process; JPEG format; RAW image; demosaicking; digital still cameras; discrete cosine transform; natural images; post-acquisition processes; statistical model; white-balancing; Discrete cosine transforms; Image coding; Image color analysis; Laplace equations; Mathematical model; Random variables; Transform coding; DCT Coefficients; JPEG format; Natural image; Noise and system model; Statistical model;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467412
