Image processing method

Patent metadata

Field	Value
Publication number	US-2016180807-A1
Application number	US-201414370232-A
Country	US
Kind code	A1
Filing date	Jan 17, 2014
Priority date	Sep 12, 2013
Publication date	Jun 23, 2016
Grant date	—

Abstract

The present invention discloses an image processing method includes steps of measuring stimulus value matrixes of trichromatic grays of a displaying image; calculating a stimulus value matrix of each pixel gray of the displaying image from the measured stimulus value matrixes; transforming the stimulus value matrixes of each pixel gray to coordinate values of each pixel in a color space; calculating a chromatic aberration between two adjacent pixels of each row and each column in the color space; selecting a pixel area and calculating a chromatic aberration value of the pixels in the selected pixel area and a chromatic aberration value between pixels of a periphery of the selected pixel area and the adjacent pixels out of the selected pixel area; executing an image process to the selected pixel area if a difference between these two chromatic aberration values and a preset chromatic aberration threshold value meets a predetermined rule.

First claim

What is claimed is:

1 . An image processing method, comprising:
correspondingly measuring stimulus values matrixes of trichromatic grays of a displaying image; calculating a stimulus value matrix of each pixel gray of the displaying image from the measured stimulus value matrixes of trichromatic grays according to the color mixing theory; transforming the stimulus value matrixes of each pixel gray of the displaying image to a coordinate value of each pixel in a uniform color space; calculating a chromatic aberration between two adjacent pixels of each row and each column in the uniform color space; selecting a pixel area with a predetermined scale and calculating a chromatic aberration value of the pixels in the selected pixel area and a chromatic aberration value between pixels located along a periphery of the selected pixel area and the adjacent pixels out of the selected pixel area ; comparing the chromatic aberration value of the pixels in the selected pixel area and the chromatic aberration value between pixels located along a periphery of the selected pixel area and the adjacent pixels out of the selected pixel area with a preset chromatic aberration threshold value; and executing an image process to the pixels in the selected pixel area if a difference between the chromatic aberration value of the pixels in the selected pixel area and the chromatic aberration value between pixels located along a periphery of the selected pixel area and the adjacent pixels out of the selected pixel area and the chromatic aberration threshold value meets a predetermined rule.

2 . The image processing method of claim 1 , wherein the image process executed to the pixels of the selected pixel area comprises an image denoise process and an image enhancement process.

3 . The image processing method of claim 2 , wherein the image denoise process is executed by a median filter.

4 . The image processing method of claim 2 , wherein the image enhancement process employs the Laplace transformation.

5 . The image processing method of claim 1 , wherein the uniform color space is selected from a group consisting of a CIE1960OUCS uniform color space, a CIE1964 W*U*V*uniform color space, a CIE1976L*u*v* uniform color space, and a CIE1976L*a*b* uniform color space.

6 . The image processing method of claim 1 , wherein the uniform color space is a CIE1976L*a*b* uniform color space.

7 . The image processing method of claim 1 , wherein the selected pixel area is a 3×3 of pixel area.

8 . The image processing method of claim 1 , wherein the chromatic aberration value of the pixels in the selected pixel area is a sum of the chromatic aberration values between each two adjacent pixels in the selected pixel area and the chromatic aberration value between pixels located along a periphery of the selected pixel area and the adjacent pixels out of the selected pixel area is a sum of the chromatic aberration values between each pixel located along the periphery of the selected pixel area and the corresponding adjacent pixel out of the selected pixel area.

9 . The image processing method of claim 8 , wherein the predetermined rule is that if a difference between the sum of the chromatic aberration values of each two adjacent pixels in the selected pixel area and the sum of the chromatic aberration values between each pixel located along the periphery of the selected pixel area and the corresponding adjacent pixel out of the selected pixel area is greater than the chromatic aberration threshold value, the selected pixel area is considered as an area where the noise points stays and the image denoise process is executed in the selected pixel area.

10 . The image processing method of claim 1 , wherein if the difference between the sum of the chromatic aberration values of each two adjacent pixels in the selected pixel area and the sum of the chromatic aberration values between each pixel located along the periphery of the selected pixel area and the corresponding adjacent pixel out of the selected pixel area and the chromatic aberration threshold value do not meet the predetermined rule, the other pixel area is selected to test.

Assignees

• Shenzhen China Star Optoelect

Inventors

• Chen Lixuan
• Kang Chih-Tsung

Classifications

• G06T2207/20024

  Filtering details · CPC title

• G09G5/02 Primary

  characterised by the way in which colour is displayed {(details of colour display specific for CRTs G09G1/28; specific for flat matrix panels other than liquid crystal displays G09G3/2003; specific for liquid crystal displays G09G3/3607)} · CPC title

• G06T5/20

  using local operators · CPC title

• G06T5/002

  Physics · mapped topic

• G06T2207/10024

  Color image · CPC title