Patent №
US 7,840,066
Granted
2010-11-23
Filed 2006
Owner
RESEARCH FOUNDATION, UNIVERSITY OF TENNESSEE
+1 more
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11598943
Methods for enhancing the quality of an electronic image, including automated methods for contrast enhancement and image noise reduction. In many embodiments the method provides for grouping the histogram components of a low-contrast image into the proper number of bins according to a criterion, then redistributing these bins uniformly over the grayscale, and finally ungrouping the previously grouped gray-levels. The technique is named gray-level grouping (GLG). An extension of GLG called Selective Gray-Level Grouping (SGLG), and various variations thereof are also provided. SGLG selectively groups and ungroups histogram components to achieve specific application purposes, such as eliminating background noise, enhancing a specific segment of the histogram, and so on. GLG techniques may be applied to both monochromatic grayscale images and to color images. Several preprocessing or postprocessing methods for image noise reduction are provided for use independently or for use with GLG techniques to both reduce or eliminate background noise and enhance the image contrast in noisy low-contrast images.
AI classification
Ownership
RESEARCH FOUNDATION, UNIVERSITY OF TENNESSEE
assignment · 186040197
ABIDI, BESMA
assignment · 335480268
Assignors
CHEN, ZHIYU, ABIDI, BESMA ROUI, ABIDI, MONGI AL
On an employer assignment, the assignors are typically the inventors.