Image quality adjusting method and device and readable storage medium

Abstract

The invention provides an image quality adjusting method and device and a readable storage medium. The method comprises the steps of enabling a display equipment system to select a focus region of a target image, and outputting a mapping relation curve of an input brightness value and an output brightness value of the target image; and then calculating a pixel input brightness value range of the target image focus region, performing proportional adjustment according to upper and lower edge coefficients of the input brightness value range to obtain new upper and lower edge coefficients, and finally adjusting the target image focus region according to the new upper and lower edge coefficient adjustment mapping relation curve. According to the invention, the image region in which a user is interested is set as the focus region of the target image, and the contrast level of the target image is adjusted by adjusting the order of the linear Bezier curve or the adjustment factors of the upperand lower edge coefficients of the input brightness value range, so that the smoothness of the image brightness adjustment change is ensured; and the consistency of the adjusted image picture is ensured, the contrast level of the specific region of the image picture is improved, and the image quality of the image is more distinct and abundant.

Description

technical field [0001] The present invention relates to the technical field of image communication, in particular to a method, device and readable storage medium for adjusting image quality. Background technique [0002] HDR (High Dynamic Range) image technology is an image display technology that has gradually emerged in recent years. Compared with ordinary images, HDR can provide more dynamic range and image details, and can better reflect the visual effects in addition to the real environment. HDR technology meets people's needs for high-quality movies and TV perception, but the existing HDR technology itself cannot fully meet people's requirements for rich, delicate and layered pictures, because different people have different scenes and pictures. The focus or area of ​​interest is also inconsistent, resulting in the existing HDR technology can only adjust the image mechanically, but cannot intelligently adjust the image according to different environments and scenes. ...

AI Technical Summary

Problems solved by technology

HDR technology meets people's needs for high-quality movies and TV perception, but the existing HDR technology itself cannot fully meet people's requirements for rich, delicate and layered pictures, because different people have different scenes and pictures. The focus or area of ​​interest is also inconsistent, resulting in the existing HDR technology can only adjust the image mechanically, but cannot intelligently adjust the image according to different environments and scenes

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