ADAPTIVE CONTRAST ENHANCEMENT APPARATUS AND METHOD

• US 20160267631A1
• Filed: 03/10/2015
• Published: 09/15/2016
• Est. Priority Date: 03/10/2015
• Status: Active Grant

• Current Assignee: VIA Technologies Incorporated (VIA Technologies)
• Original Assignee: VIA Technologies Incorporated (VIA Technologies)
• Inventors: SHEN, De-Wei, TSAO, Sheng-Che
• Granted Patent: US 9,582,866 B2
• Time in Patent Office: 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 2207/20008 Globally adaptive
• CPC Class Codes: G06T 2207/20021 Dividing image into blocks, subimages or windows
• CPC Class Codes: G06T 2207/20076 Probabilistic image processing
• CPC Class Codes: G06T 2207/20208 High dynamic range [HDR] image processing
• CPC Class Codes: G06T 2210/36 Level of detail
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/92 based on global image properties
• CPC Class Codes: G06T 7/90 Determination of colour characteristics

Abstract

An adaptive contrast enhancement method, the steps include: calculating a probability density function based on pixel values of a plurality of pixels of an input image signal; dividing the plurality of pixels into one of a plurality of low-brightness sets and high-brightness sets according to the pixel values of the plurality of pixels, wherein a part of the plurality of pixels with pixel values below one of a plurality of delimiting values are allocated to the low-brightness set and a part of the plurality of pixels with pixel values above the delimiting value are allocated to the high-brightness set; determining a mapping function according to the probability of the plurality of pixels in the low-brightness set and the probability of the plurality of pixels in the high-brightness set; and mapping the input image signal to an output image signal according to the mapping function.

Claims

1. An adaptive contrast enhancement method, comprising:

calculating a probability density function based on pixel values of a plurality of pixels of an input image signal;

dividing the plurality of pixels into one of a plurality of low-brightness sets and high-brightness sets according to the pixel values of the plurality of pixels, wherein a part of the plurality of pixels with pixel values below one of a plurality of delimiting values are allocated to the low-brightness set and a part of the plurality of pixels with pixel values above the delimiting value are allocated to the high-brightness set;

determining a mapping function according to the probability of the plurality of pixels in the low-brightness set and the probability of the plurality of pixels in the high-brightness set; and

mapping the input image signal to an output image signal according to the mapping function.

2. The adaptive contrast enhancement method as claimed in claim 1, wherein the plurality of pixels are further divided into others of the low-brightness sets and the high-brightness sets each corresponding to one of the plurality of low-brightness sets according to each of the plurality of delimiting values.

3. The adaptive contrast enhancement method as claimed in claim 2, wherein the mapping function is determined according to a smallest delimiting value that corresponds to the low-brightness set having a probability higher than the probability of the corresponding high-brightness set by a contrast factor.

4. The adaptive contrast enhancement method as claimed in claim 3, wherein an exponent of the mapping function corresponding to a smaller smallest delimiting value is smaller than the exponent of the mapping function corresponding to a larger smallest delimiting value.

5. The adaptive contrast enhancement method as claimed in claim 1, wherein the mapping function is linear with a slope of 1 when above a linear pixel value.

6. The adaptive contrast enhancement method as claimed in claim 1, further comprising:

shifting the pixel values of the plurality of pixels by an offset pixel value, wherein the offset pixel value is the pixel value corresponding to a cumulative distribution function of a threshold value.

7. The adaptive contrast enhancement method as claimed in claim 1, further comprising:

using the mapping function of a previous input image signal as the mapping function of the input image signal when a difference between the probability density function of the input image signal and the probability density function of the previous input image signal is below a scene-change threshold.

8. The adaptive contrast enhancement method as claimed in claim 1, further comprising:

converting the input image signal represented in a first color space to a second color space.

9. An adaptive contrast enhancement apparatus, comprising:

a probability density function and cumulative distribution function calculator, calculating a probability density function based on pixel values of a plurality of pixels of an input image signal;

a mapping function calculator, dividing the plurality of pixels into one of a plurality of low-brightness sets and high-brightness sets according to the pixel values of the plurality of pixels and determining a mapping function according to the probability of the plurality of pixels in the low-brightness set and the probability of the plurality of pixels in the high-brightness set, wherein a part of the plurality of pixels with pixel values below one of a plurality of delimiting values are allocated to the low-brightness set and a part of the plurality of pixels with pixel values above the delimiting value are allocated to the high-brightness set; and

a mapper, mapping the input image signal to an output image signal according to the mapping function.

10. The adaptive contrast enhancement apparatus as claimed in claim 9, wherein the plurality of pixels are further divided into others of the low-brightness sets and the high-brightness sets each corresponding to one of the plurality of low-brightness sets according to each of the plurality of delimiting values.

11. The adaptive contrast enhancement apparatus as claimed in claim 10, wherein the mapping function is determined according to a smallest delimiting value that corresponds to the low-brightness set having a probability higher than the probability of the corresponding high-brightness set by a contrast factor.

12. The adaptive contrast enhancement apparatus as claimed in claim 11, wherein an exponent of the mapping function corresponding to a smaller smallest delimiting value is smaller than the exponent of the mapping function corresponding to a larger smallest delimiting value.

13. The adaptive contrast enhancement apparatus as claimed in claim 9, wherein the mapping function is linear with a slope of 1 when above a linear pixel value.

14. The adaptive contrast enhancement apparatus as claimed in claim 9, further comprising:

an offset calculator, calculating an offset pixel value as the pixel value corresponding to a cumulative distribution function of a threshold value, wherein the mapper shifts the pixel values of the plurality of pixels by the offset pixel value before mapping the input image signal to the output image signal according to the mapping function.

15. The adaptive contrast enhancement apparatus as claimed in claim 9, further comprising:

a scene-change detector, calculating a difference between the probability density function of the input image signal and the probability density function of a previous input image signal, wherein the mapping function of the previous input image signal is used as the mapping function of the input image signal by the mapper when the difference between the probability density function of the input image signal and the probability density function of the previous input image signal is below a scene-change threshold.

16. The adaptive contrast enhancement apparatus as claimed in claim 9, further comprising:

a color space converter, converting the input image signal represented in a first color space to a second color space.