METHOD OF ENHANCING A DIGITAL IMAGE BY GRAY-LEVEL GROUPING

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.

VisionG06T 5/90G06T 5/40G06T 5/70G06T 2207/10024G06T 2207/10032G06T 2207/10116G06T 2207/20012G06T 2207/20021+6 more

AI classification

Vision1.00
Machine learning0.04
AI hardware0.00
Natural language0.00
Planning0.00
Speech0.00
Evolutionary computation0.00
Knowledge representation0.00

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.

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