Method and device for adjusting dynamic contrast

Abstract

The embodiment of the invention provides a method and device for adjusting the dynamic contrast, relates to the technical field of display and can avoid flickering of images. The method comprises the steps that a first brightness value of each pixel in an image to be displayed is acquired; and for each pixel in the image to be displayed, the first brightness value of the pixel can be adjusted to be a second brightness value corresponding to a critical range under a condition that the first brightness value of the pixel is in the critical range of two adjacent first brightness intervals, wherein each critical range corresponds to one second brightness value, the value range of the first brightness value comprises at least two continuous first brightness intervals, and the neighborhood taking a critical value of each two adjacent first brightness intervals as a center forms a critical range of the two adjacent first brightness intervals. The embodiment of the invention is used for adjusting the dynamic contrast.

Description

technical field [0001] The invention relates to the field of display technology, in particular to a dynamic contrast adjustment method and device. Background technique [0002] When displaying each frame of image, the display device can convert the input signal of each frame of image from analog signal to digital signal to obtain the brightness value of each pixel, and then convert the brightness range (0-255 is usually used to represent the range of brightness) Divide it into multiple equally divided brightness intervals, and use the histogram to count the ratio of the number of pixels whose brightness values ​​are in each brightness interval to the total number of pixels in the frame image, and calculate the preset low, medium, and high The weights of the three static contrast curves in the brightness range, and finally calculate the dynamic contrast curve of the frame image through a weighting algorithm. In this way, the display device can adjust the brightness of each p...

AI Technical Summary

Problems solved by technology

[0003] However, due to the fact that in the prior art, there may be certain errors when converting the input signal of the image from an analog signal to a digital signal, when the brightness value of a certain pixel in the input signal of consecutive multi-frame images is the same, it is converted into The luminance value of this pixel after the digital signal may be different, which may make the luminance value of this pixel just fall in two adjacent luminance intervals (such as luminance interval 1 and luminance interval 2) (for example, in the first frame image, the The brightness value of the pixel falls in the brightness interval 1, the brightness value of the pixel in the second frame image falls in the brightness interval 2, and the brightness value of the pixel in the third frame image falls in the brightness interval 1), so according to the dynamic contrast When the curve adjusts the pixel, the brightness value of the pixel may be repeatedly adjusted up and down in consecutive multiple frames of images. For example, the slope of the dynamic contrast curve of the first frame image corresponding to brightness interval 1 is less than 1 , when the slope of the dynamic contrast curve of the second frame image corresponding to the brightness interval 2 is greater than 1, and the slope of the dynamic contrast curve of the third frame image corresponding to the brightness interval 3 is less than 1, the brightness value of the pixel will be in the Turn it down in the first frame image, turn it up in the second frame image, and turn it down again in the third frame image), which may cause the image to flicker during the switching process of consecutive multi-frame images

[0004] In order to solve the above problems, in the prior art, the dynamic contrast curve is partitioned by a discrete sampling method (that is, the brightness interval is divided). When the number of partitions is larger, the contrast adjustment of the image can be closer to the effect of continuous adjustment of the real curve. However, this method still has inaccurate judgments near the separation point, so the dynamic contrast adjustment method in the prior art cannot fundamentally solve the problem of image flickering that may be caused during the switching process of continuous multi-frame images

Images