Method and system for detecting color cast
A color cast coefficient and color cast technology, applied in the field of color cast detection, can solve problems such as color cast in video encoding and transmission, and achieve the effect of wide application, small amount of calculation, and good real-time performance.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0035] The application scenario of the embodiment of the present invention may be as follows: the server at the video monitoring point receives the video data encoded by the front-end equipment and transmitted through the network, the server at the monitoring point decodes the received video data, and the server can check the quality of the decoded video data Carry out diagnostic services, specifically including video loss diagnosis, video freeze diagnosis, video offset diagnosis, video brightness abnormality diagnosis, video clarity abnormality diagnosis, noise abnormality diagnosis and color cast diagnosis, etc., please refer to figure 1 It is a flow chart of network transmission of video data, where the method of the embodiment of the present invention can be used for color cast detection.
[0036] figure 2 It shows the implementation flowchart of the method for color cast detection provided by Embodiment 1 of the present invention, and is described in detail as follows: ...
Embodiment 2
[0063] image 3 It shows the implementation flow chart of the method for color cast detection provided by Embodiment 2 of the present invention, which is described in detail as follows:
[0064] In step S301, video images are received.
[0065] In step S302, the RGB color cast coefficients of the above video image are acquired.
[0066] In step S303, the received video image is converted into a grayscale image.
[0067] In step S304, the noise value of the grayscale image Gray and the color noise values Ngray, Nr, Ng, Nb of each color component of the RGB image are calculated respectively.
[0068] For ease of understanding, the method for calculating the color noise of a video image is described below with a specific implementation example, but not limited to this implementation example:
[0069] The image is divided into blocks B (i, j), and the mean value Mn and the variance Vn of each image block are calculated, (0<=n
Embodiment 3
[0074] Figure 4 It shows the implementation flow chart of the method for color cast detection provided by Embodiment 3 of the present invention, which is described in detail as follows:
[0075] In step S401, a video image is received;
[0076] In step S402, the RGB color cast coefficients of the received video images are acquired.
[0077] In step S403, the received video image is converted into a grayscale image;
[0078] In step S404, the noise value of the grayscale image Gray and the color noise values Ngray, Nr, Ng, Nb of each color component of the RGB image are calculated respectively.
[0079] In step S405, it is judged whether the maximum noise value among the noise values of each component of the RGB image is smaller than a preset value, if yes, execute step S406, otherwise execute step S407.
[0080] In the embodiment of the present invention, the preset value can be set according to the actual needs of the user, which is not intended to limit the present i...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com