Image processing method and device

Abstract

The embodiment of the invention discloses an image processing method and device. The method comprises the following steps that the saturated color ratio of a current-frame picture in an acquired target image is detected; the pulse-width modulation (PWM) duty cycle of a backlight circuit for displaying the current-frame picture and the gain coefficient for conducting image format conversion on thecurrent-frame picture are acquired according to the saturated color ratio; and the format of the current-frame picture is converted from a first image format into a second image format on the basis ofan image transformation algorithm by adopting the gain coefficient, and the backlight circuit is controlled to display the current-frame picture in the second image format according to the backlightbrightness corresponding to the PWM duty cycle. The corresponding PWM duty cycle and gain coefficient are acquired by detecting the saturated color ratio of the current-frame picture in the acquired target image, the backlight brightness of the displayed picture and the gain coefficient in the format conversion process can be controlled intelligently, the problem that the saturated color is darkerthan the nonsaturated color when the picture is displayed is solved, and the display effect of a terminal is improved.

Description

technical field [0001] The present invention relates to the field of electronic technology, in particular to an image processing method and equipment thereof. Background technique [0002] With the continuous development and improvement of electronic technology, terminals such as mobile phones and tablet computers have become an indispensable part of people's lives. People can use these terminals not only for communication, but also for video playback, file transfer, video recording, Play games etc. [0003] With people's continuous pursuit of high brightness and energy saving in displays, the four primary color (Red Green Blue White, RGBW) system algorithm came into being, that is, the original three primary color (Red Green Blue, RGB) sub-pixel system became the RGBW sub-pixel system; First, the received image data is converted from the grayscale domain to the brightness domain in order to improve the calculation accuracy, and then the received RGB data is converted to th...

AI Technical Summary

Problems solved by technology

[0003] With people's continuous pursuit of high brightness and energy saving in displays, the four primary color (Red Green Blue White, RGBW) system algorithm came into being, that is, the original three primary color (Red Green Blue, RGB) sub-pixel system became the RGBW sub-pixel system; First, the received image data is converted from the grayscale domain to the brightness domain in order to improve the calculation accuracy, and then the received RGB data is converted to the RGBW domain; and then through the pixel rendering technology (Sub Pixel Rendering, SPR) technology and specific mapping relationship, and then convert the RGB graphics data into RGBW graphics data through the conversion process from the brightness domain to the gray scale domain, but this method also has certain problems. In the process of converting the RGB data of the image into RGBW, due to the panel process and Due to the pixel limit, the saturated color actually achieves a smaller gain than the unsaturated color, which makes the saturated color appear darker than the unsaturated color when the screen is displayed.

For images with a high proportion of saturated colors, the image displayed by the RGBW system is darker than that displayed by the RGB system. For some situations with high requirements on the image, the expected effect cannot be achieved, and the display effect of the terminal is reduced.

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