Statistical model of natural images

Author

Thai, Thanh Hai ; Retraint, Florent ; COGRANNE, Remi

Author_Institution

ICD, Univ. de Technol. de Troyes, Troyes, France

fYear

2012

fDate

Sept. 30 2012-Oct. 3 2012

Firstpage

2525

Lastpage

2528

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2012 19th IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1522-4880

Print_ISBN

978-1-4673-2534-9

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2012.6467412

Filename

6467412