Subtle brightness change amplification display method and circuit

Abstract

The invention relates to the field of video data processing, and particularly provides a subtle brightness change amplification display method and circuit. Compared with the prior art, the subtle brightness change amplification display method comprises the following steps: (1) calibrating an area range of brightness display to be amplified, and indicating start and stop pixel position coordinates;(2) storing the input RGB format data, and carrying out RGB-to-YUV conversion; (3) interpreting adjacent pixel operation values; (4) re-encoding the chroma display; and (5) sending the new RGB code to display. Small brightness changes of adjacent pixels are converted into visual and obvious chromaticity changes; the method greatly improves the convenience of scene recognition by human eyes, onlyneeds to add multiply-add and store logic, is small in additional resource occupation, does not affect the data transmission and display of an original video data path, is simple, convenient and easyto transplant, and can expand more demand applications on the basis.

Description

technical field [0001] The invention relates to the field of video data processing, and specifically provides a circuit and method for amplifying and displaying subtle brightness changes. Background technique [0002] The RGB color space is based on the three basic colors of R (Red), G (Green), and B (Blue), which are superimposed in different degrees to produce rich and wide colors. The RGB space is the most common color display model in life. , Most of the CRT monitors such as TVs and computers use this model. Any color in nature can be formed by mixing red, green, and blue colors. Most of the colors people see in real life are mixed colors. [0003] The color image displayed on the display screen needs to control the values ​​of Red, Green, and Blue in a pixel to determine the color of this pixel. The continuous storage from the darkest to the brightest value cannot be simulated in the computer, but can only be expressed digitally. Therefore, in combination with the se...

AI Technical Summary

Problems solved by technology

[0004] At present, there are still a large number of scenes that require human eye observation and analysis in production and life, such as the qualitative analysis of the behavior of people and vehicles on the road, the distinction between real 3D objects and false information in 2D photos, etc. When human eyes need to identify small brightness changes, it is often encountered. Difficult to judge and excessive manpower consumption

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