Apparatus for detecting afterimage candidate region and apparatus including the same for preventing afterimage

Patent metadata

Field	Value
Publication number	US-9552534-B2
Application number	US-201414204564-A
Country	US
Kind code	B2
Filing date	Mar 11, 2014
Priority date	Sep 9, 2013
Publication date	Jan 24, 2017
Grant date	Jan 24, 2017

Abstract

An apparatus for detecting an afterimage candidate region includes: a comparison unit which compares gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame and generates integrated gradation data of the n-th frame, where n is a natural number; a memory which provides the integrated gradation data of the (n−1)-th frame to the comparison unit and stores the integrated gradation data of the n-th frame; and an afterimage candidate region detection unit which detects an afterimage candidate region based on the integrated gradation data of the n-th frame, where each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region.

First claim

What is claimed is:

1. A method for detecting an afterimage candidate region, the method comprising:
comparing gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame and generating integrated gradation data of the n-th frame, wherein n is a natural number;
provides the integrated gradation data of the (n−1)-th frame for the comparing, and storing the integrated gradation data of the n-th frame; and
detecting the afterimage candidate region based on the integrated gradation data of the n-th frame,
wherein each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region, the comparison region has a size of a-bits and the gradation region has a size of b-bits, wherein a and b are natural numbers.

2. A method for detecting an afterimage candidate region, the method comprising:
comparing gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame, and generating integrated gradation data of the n-th frame, wherein n is a natural number;
providing the integrated gradation data of the (n−1)-th frame for the comparing, and storing the integrated gradation data of the n-th frame; and
detecting the afterimage candidate region based on the integrated gradation data of the n-th frame,
wherein each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region,
wherein the number of bits of the gradation data of the n-th frame is equal to the number of bits of the integrated gradation data of the n-th frame.

3. The method of claim 1 , wherein
a value of the gradation region of the integrated gradation data of the n-th frame is equal to a value of upper b-bits of the gradation data of the n-th frame.

4. A method for detecting an afterimage candidate region, comprising:
comparing gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame, and generating integrated gradation data of the n-th frame, wherein n is a natural number;
providing the integrated gradation data of the (n−1)-th frame for comparing, and storing the integrated gradation data of the n-th frame; and
detecting the afterimage candidate region based on the integrated gradation data of the n-th frame,
wherein each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region, wherein
upper c-bits of the gradation region of the integrated gradation data of the (n−1)-th frame is sequentially compared with upper c-bits of the gradation data of the n-th frame bit by bit, wherein c is a natural number,
when values of corresponding bits of the upper c-bits of the gradation region of the integrated gradation data of the (n−1)-th frame and the upper c-bits of the gradation data of the n-th frame are the same as each other, a value of the comparison region of the integrated gradation data of the n-th frame is set as a value increased from a value of the comparison region of the integrated gradation data of the (n−1)-th frame, and
when values of corresponding bits of the upper c-bits of the gradation region of the integrated gradation data of the (n−1)-th frame and the upper c-bits of the gradation data of the n-th frame are different from each other, the comparing is stopped and the value of the comparison region of the integrated gradation data of the n-th frame is reset.

5. The method of claim 4 , further comprising:
determining a size of the upper c-bits based on luminance of the n-th frame.

6. The method of claim 5 , wherein
size of the upper c-bits is decreased when the luminance of the n-th frame is increased, and
the size of the upper c-bits is increased when the luminance of the n-th frame is decreased.

7. A method for detecting an afterimage candidate region, the method comprising:
comparing gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame, and generating integrated gradation data of the n-th frame, wherein n is a natural number;
providing the integrated gradation data of the (n−1)-th frame for the comparing, and storing the integrated gradation data of the n-th frame; and
detecting the afterimage candidate region based on the integrated gradation data of the n-th frame,
wherein each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region, wherein
upper c-bits of the gradation region of the integrated gradation data of the (n−1)-th frame is compared with upper c-bits of the gradation data of the n-th frame to detect corresponding bits of the gradation region of the integrated gradation data of the (n−1)-th frame and the gradation data of the n-th frame having a same value, wherein c is a natural number,
a plurality of weight values, which is different from each other, is defined to correspond to the upper c-bits,
an identification value is calculated through addition of the weight values corresponding to the corresponding bits having the same value,
when the identification value is greater than a reference value, a value of the comparison region of the integrated gradation data of the n-th frame is set as a value increased from a value of the comparison region of the integrated gradation data of the (n−1)-th frame, and
when the identification value is less than the reference value, the value of the comparison region of the integrated gradation data of the n-th frame is reset.

8. The method of claim 7 , further comprising:
determining a size of the upper c-bits based on luminance of the n-th frame.

9. The method of claim 8 , wherein
the size of the upper c-bits is decreased when the luminance of the n-th frame is increased, and
the size of the upper c-bits is increased when the luminance of the n-th frame is decreased.

10. A method for detecting an afterimage candidate region, the method comprising:
comparing gradation data of an n-th frame with integrated gradation data of an (n−1)-th frame, and generating integrated gradation data of the n-th frame, wherein n is a natural number;
providing the integrated gradation data of the (n−1)-th frame for the comparing, and storing the integrated gradation data of the n-th frame; and
detecting the afterimage candidate region based on the integrated gradation data of the n-th frame,
wherein each of the integrated gradation data of the n-th frame and the integrated gradation data of the (n−1)-th frame comprises a comparison region and a gradation region,
wherein the afterimage candidate region detector determines an image region of the n-th frame, in which a value of the comparison region of the integrated gradation data of the n-th frame is equal to or greater than a reference value for afterimage candidate determination, as an afterimage comparison region.

Assignees

• Samsung Display Co Ltd

Inventors

• Jang Yong Jun
• Choi Nam Gon
• Goh Joon Chul
• Kim Gi Geun
• Park Geun Jeong
• Park Cheol Woo
• Baek Yun Ki
• So Jeong Hun
• Lee Dong Gyu

Classifications

• G06V10/758

  Involving statistics of pixels or of feature values, e.g. histogram matching · CPC title

• G06T2207/20216

  Image averaging · CPC title

• G06T2207/10016

  Video; Image sequence · CPC title

• G06K9/6212 Primary

  Physics · mapped topic

• G06T5/008

  Physics · mapped topic