Work

Content-adaptive color transform for image compression

Year: 2010

Type: conference-paper

Abstract: In this paper, an adaptive color transform for image compression is introduced. In each block of the image coefficients of the color transform are determined from the previously compressed neighboring blocks using weighted sums of the RGB pixel values, making the transform block-specific. There is no need to transmit or store the transform coefficients because they are estimated from previous blocks. The compression efficiency of the transform is demonstrated using the JPEG image coding scheme. In general, the suggested transformation results in better PSNR values for a given compression level.

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip.2010.5651034

Authors: Alexander Suhre, Kivanc Kose, A. Enis Cetin, Metin N. Gurcan

Institutions: Bilkent University, The Ohio State University

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: Microscopic Image Processing, Analysis, Classification and Modelling Environment