Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-10-03
2011-12-27
Louie, Wai Sing (Department: 2814)
Image analysis
Applications
Biomedical applications
C382S173000, C382S195000, C382S199000, C382S203000
Reexamination Certificate
active
08086007
ABSTRACT:
A method and system for image quality assessment is disclosed. The image quality assessment method is a no-reference method for objectively assessing the quality of medical images. This method is guided by the human vision model in order to accurately reflect human perception. A region of interest (ROI) of medical image is divided into non-overlapping blocks of equal size. Each of the blocks is categorized as a smooth block, a texture block, or an edge block. A perceptual sharpness measure, which is weighted by local contrast, is calculated for each of the edge blocks. A perceptual noise level measure, which is weighted by background luminance, is calculated for each of the smooth blocks. A sharpness quality index is determined based on the perceptual sharpness measures of all of the edge blocks, and a noise level quality index is determined based on the perceptual noise level measures of all of the smooth blocks. An overall image quality index can be determined by using task specific machine learning of samples of annotated images. The image quality assessment method can be used in applications, such as video/image compression and storage in healthcare and homeland security, and band-width limited wireless communication.
REFERENCES:
patent: 6285797 (2001-09-01), Lubin et al.
patent: 6775399 (2004-08-01), Jiang
patent: 7090640 (2006-08-01), Barth et al.
patent: 2005/0089246 (2005-04-01), Luo
patent: 2006/0274618 (2006-12-01), Bourret
patent: 2008/0063063 (2008-03-01), Gelderblom et al.
patent: 2008/0207198 (2008-08-01), Juric
patent: 2008/0226148 (2008-09-01), Gu et al.
Ferzli, Rony, et al., “Human Visual System Based No-Reference Objective Image Sharpness Metric”, IEEE Int'l Conf. on Image Processing, pp. 2949-2952, Oct. 2006.
Shaked, Doron, et al., “Sharpness Measure: Towards Automatic Image Enhancement”, HP Laboratories Israel, Jun. 2005.
Boehm Stefan
Chang Ti-chiun
Durlak Peter
Fang Tong
Lendl Markus
Louie Wai Sing
Siemens Aktiengesellschaft
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