Filtering method and apparatus for recovering an anti-aliasing edge

Patent metadata

Field	Value
Publication number	US-9256929-B2
Application number	US-201414301665-A
Country	US
Kind code	B2
Filing date	Jun 11, 2014
Priority date	Jun 17, 2013
Publication date	Feb 9, 2016
Grant date	Feb 9, 2016

Abstract

Embodiments provide a filtering method and apparatus for recovering an anti-aliasing edge. The method includes: calculating, for a nonlinearly filtered image, a variance value of an area surrounding a current pixel used for identifying an edge of the image; and re-filtering the current pixel when the variance value is greater than a predefined first threshold value, so as to recover an anti-aliasing edge. With the embodiments of the present application, aliasing noises resulted from nonlinear transform may be alleviated, thereby recovering an anti-aliasing edge of a natural object.

First claim

The invention claimed is:

1. A filtering method for recovering an anti-aliasing edge, comprising:
calculating, for a nonlinearly filtered image, a variance value of an area surrounding a current pixel, the variance value is used for identifying an edge of the image; and
re-filtering the current pixel when the variance value is greater than a predefined first threshold value, so as to recover an anti-aliasing edge;
wherein the re-filtering the current pixel comprises:
selecting filtering parameters according to different variance values, the filtering parameters being continuously set along with the different variance values;
performing gradient weighted filtering on the current pixel based on the filtering parameters;
wherein the performing gradient weighted filtering on the current pixel based on the filtering parameters comprises:
setting a size of a search window which takes the current pixel as a center and a size of a comparison window, of the gradient weighted filtering;
calculating weights of all search points in the search window based on the filtering parameters; and
calculating a gradient weighted filtering result of the current pixel according to the weights of the all search points and chroma values or luminance values of all the search points.

2. The method according to claim 1 , wherein the selecting filtering parameters according to different variance values comprises:
selecting the filtering parameters from continuous numeric values between a first parameter and a second parameter, if the variance value is greater than the first threshold value and less than a predefined second threshold value;
selecting the second parameter as the filtering parameter, if the variance value is greater than the second threshold value and less than a predefined third threshold value;
selecting the filtering parameters from continuous numeric values between the second parameter and a third parameter, if the variance value is greater than the third threshold value and less than a predefined fourth threshold value; and
selecting the third parameter as the filtering parameter, if the variance value is greater than the fourth threshold value;
wherein the third parameter is less than the first parameter, and the first parameter is less than the second parameter.

3. The method according to claim 1 , wherein the calculating weights of all search points in the search window based on the filtering parameters comprises:
calculating, for each of the search points in the search window, a correlation between the search point and the current pixel; and
determining a weight of the search point according to the correlation between the search point and the current pixel, a number of pixels in the comparison window and the filtering parameters.

4. The method according to claim 3 , wherein the calculating a correlation between the search point and the current pixel comprises:
subtracting the comparison window which takes the search point as a center from the comparison window which takes the current pixel as a center in a manner of one pixel by one pixel; and
adding up all of the obtained differences after taking absolute values thereof.

5. The method according to claim 3 , wherein the method further comprises:
assigning, after obtaining the weights of all the search points in the search window, a maximum value of the weights of all the search points to the current pixel, and taking it as a weight of the current pixel.

6. A filtering apparatus for recovering an anti-aliasing edge, comprising:
a variance value calculation unit configured to calculate, for a nonlinearly filtered image, a variance value of an area surrounding a current pixel, the variance value is used for identifying an edge of the image; and
a re-filtering unit configured to re-filter the current pixel to recover an anti-aliasing edge when the variance value is greater than a predefine first threshold value;
wherein the re-filtering unit comprises:
a filtering parameter selecting unit configured to select different filtering parameters according to variance values; wherein the filtering parameters are continuously set along with the different variance values; and
a gradient weighted filtering unit configured to perform gradient weighted filtering on the current pixel based on the filtering parameters;
wherein the gradient weighted filtering unit comprises:
a window setting unit configured to set a size of a search window which takes the current pixel as a center and a size of a comparison window, of the gradient weighted filtering;
a weight calculating unit configured to calculate weights of all search points in the search window based on the filtering parameters;
a filtering result calculating unit configured to calculate a gradient weighted filtering result of the current pixel according to the weights of all the search points and chroma values or luminance values of all the search points.

Assignees

• Fujitsu Ltd

Inventors

• Fu Xuan
• Ye Jiangli

Classifications

• G06T2207/20012

  Locally adaptive · CPC title

• G06T5/20 Primary

  using local operators · CPC title

• G06T2200/12

  involving antialiasing · CPC title

• G06T2207/20192

  Edge enhancement; Edge preservation · CPC title

• G06T5/002

  Physics · mapped topic