Image Tone Transformation Based on Block Segmentation and the Statistical Characteristics of Gray-Levels

Abstract:

Loss of gray level is a usual phenomenon in tone transformation of digital image. In order to improve the effect of tone transformation, original image is segmented into blocks, which consist of some pixels. In tone transformation, average value of gray levels, which belong to the pixels of every image block, is computed. According to the different average values of image blocks, different curve for the tone transformation is selected and the pixels of the block are processed correspondingly. If the transformation curves for the processing are enough, the loss of gray level is relative fewer. Although some of the gray levels of different image block are lost, but the lost gray levels of different image block are disperse and are not always coincident. Therefore, compared with the tone transform with one single curve for whole image, the loss of the gray level in image, which is transformed with block-segmentation and with different curves, is much fewer and the quality of processed image is relative better. The principle, as well as the algorithm is described, and the results of processed images are analyzed.

• Periodical: Applied Mechanics and Materials (Volume 731)
• Pages: 197-200
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.731.197
• Online since: January 2015
• Authors: Hong Guo Wang, Yang Jin*, Pei Lei Miao
• Keywords: Block-Segmentation, Statistical Characteristic, Tone Transformation

References

[1] Gonzalez. R.C., Woods. R.E.: Digital Image Processing. (3rd Edition, Pearson Prentice Hall, 2008).

[2] Jin Yang: Principles and Techniques of Digital Information Processing for Prepress, (China Chemical Press, China 2006).