Color image lossy compression based on blind evaluation and prediction of noise characteristics

Nikolay N. Ponomarenko; Vladimir V. Lukin; Karen O. Egiazarian; Leena Lepisto

doi:10.1117/12.872009

3 February 2011 Color image lossy compression based on blind evaluation and prediction of noise characteristics

Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, Leena Lepisto

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78700S (2011) https://doi.org/10.1117/12.872009
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

The paper deals with JPEG adaptive lossy compression of color images formed by digital cameras. Adaptation to noise characteristics and blur estimated for each given image is carried out. The dominant factor degrading image quality is determined in a blind manner. Characteristics of this dominant factor are then estimated. Finally, a scaling factor that determines quantization steps for default JPEG table is adaptively set (selected). Within this general framework, two possible strategies are considered. A first one presumes blind estimation for an image after all operations in digital image processing chain just before compressing a given raster image. A second strategy is based on prediction of noise and blur parameters from analysis of RAW image under quite general assumptions concerning characteristics parameters of transformations an image will be subject to at further processing stages. The advantages of both strategies are discussed. The first strategy provides more accurate estimation and larger benefit in image compression ratio (CR) compared to super-high quality (SHQ) mode. However, it is more complicated and requires more resources. The second strategy is simpler but less beneficial. The proposed approaches are tested for quite many real life color images acquired by digital cameras and shown to provide more than two time increase of average CR compared to SHQ mode without introducing visible distortions with respect to SHQ compressed images.

Citation Download Citation

Nikolay N. Ponomarenko, Vladimir V. Lukin, Karen O. Egiazarian, and Leena Lepisto "Color image lossy compression based on blind evaluation and prediction of noise characteristics", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700S (3 February 2011); https://doi.org/10.1117/12.872009

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