The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 09, 2013

Filed:

Nov. 19, 2008
Applicants:

Mao Peng, Shenzhen, CN;

Wenge HU, Shenzhen, CN;

Jingjun Fu, Shenzhen, CN;

Inventors:

Mao Peng, Shenzhen, CN;

Wenge Hu, Shenzhen, CN;

Jingjun Fu, Shenzhen, CN;

Assignee:

BYD Company, Ltd., Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06K 9/62 (2006.01); G06K 9/32 (2006.01); G06K 9/40 (2006.01); G06K 1/00 (2006.01); H04N 5/262 (2006.01); H04N 7/01 (2006.01); H04N 11/20 (2006.01); H04N 1/46 (2006.01); G06F 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method of image edge enhancement comprises: determining the edge trend for an image in accordance with the second order gradient value of a center pixel in different directions; performing interpolation operation with the center pixel; calculating absent color component of pixels; performing edge enhancement for the image in the interpolation module in accordance with original color component of the center pixel and the image edge trend based on the Bayer data. The image edge enhancement process takes into account the influence of the green component values of different pixels surrounding the center pixel, and adopts a noise-resistant, self-adaptive edge enhancement algorithm, to suppress noise on the image edge. Thus, the resulting image has a clear image edge. In addition, the fact that the process performs image edge enhancement in the interpolation module based on the Bayer data can significantly reduce the consumption of memory space.


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