Color enhancement for graphic images

• US 9,311,696 B2
• Filed: 06/03/2014
• Issued: 04/12/2016
• Est. Priority Date: 06/30/2008
• Status: Expired due to Fees

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Yang, Shengqi, Lu, Tiehan
• Primary Examiner(s): Wu, Jingge
• Application Number:
  US14/294,464
• Publication Number:
  US 20140270521A1
• Time in Patent Office: 679 Days
• US Class Current: 1/1
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 2207/20182 Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/90 Dynamic range modification of images or parts thereof
• CPC Class Codes: H04N 1/6027 Correction or control of colour gradation or colour contrast H04N1/6058 takes precedence

Abstract

A color enhancement system may enhance color components in an image. In one embodiment, the color enhancement system suppresses banding by combining an input color value with an enhanced colored value. In another embodiment, local variation in saturation values around a pixel may be used to determine a modification of an input saturation value for color enhancement. As still another embodiment, flickering between frames may be suppressed by combining a histogram that counts the number of times a given pixel value occurs in a particular image with a historical histogram that keeps track of an average of how often given values have occurred in previous frames.

Claims

1. A method of adjusting saturation of an image comprising:

adjusting the saturation of an image based on the variation in saturation values between pixels in the image and the neighbors of those pixels in the same image;

determining a sum of absolute differences between a central pixel and its neighbors;

using a histogram to keep track of the number of occurrences of saturation values of pixels within an image;

changing the number of occurrences of saturation values based on the local variation between a given pixel and its neighbors by increasing the number of occurrences of saturation values if the sum of absolute differences is higher than a threshold; and

if the sum of absolute differences is lower than the threshold, then making no change to the number of occurrences.

2. The method of claim 1 including blending a historical histogram taken over previous images and a histogram containing the changed number of occurrences of saturation values.

3. The method of claim 2 including using a weighted average of the historical histogram and the histogram containing the changed number of occurrences of saturation values to form a blended histogram.

4. The method of claim 3 including using the blended histogram to modify the saturation values of input pixels.

5. One or more non-transitory computer readable media storing instructions executed by a processor to perform a sequence comprising:

adjusting the saturation of an image based on the variation in saturation values between pixels in the image and the neighbors of those pixels in the same image;

determining a sum of absolute differences between a central pixel and its neighbors;

using a histogram to keep track of the number of occurrences of saturation values of pixels within an image;

changing the number of occurrences of saturation values based on the local variation between a given pixel and its neighbors by increasing the number of occurrences of saturation values if the sum of absolute differences is higher than the threshold; and

if the sum of absolute differences is lower than the threshold, then making no change to the number of occurrences.

6. The media of claim 5 including blending a historical histogram taken over previous images and a histogram containing the changed number of occurrences of saturation values.

7. The media of claim 6 including using a weighted average of the historical histogram and the histogram containing the changed number of occurrences of saturation values to form a blended histogram.

8. The media of claim 7 including using the blended histogram to modify the saturation values of input pixels.

9. A processing apparatus comprising:

a hardware unit to adjust the saturation of an image based on the variation and saturation values between pixels in the image and the neighbors of those pixels in the same image, determine a sum of absolute differences between a central pixel and its neighbors, use a histogram to keep track of the number of occurrences of saturation values of pixels within an image, change the number of occurrences of saturation values based on the local variation between a given pixel and its neighbors, by increasing the number of occurrences of saturation values if the sum of absolute differences is higher than the threshold, and if the sum of absolute differences is lower than the threshold, then making no change to the number of occurrences; and

a storage coupled to said unit.

10. The apparatus of claim 9, said unit to use a weighted average of the historical histogram and the histogram containing the changed number of occurrences of saturation values to form a blended histogram.

11. The apparatus of claim 10, said unit to use the blended histogram to modify the saturation values of input pixels.