Image quality adjusting method and system and television set

Abstract

The invention discloses an image quality adjusting method, and the method comprises the steps: receiving a color selection instruction; recognizing a to-be-adjusted region comprising a to-be-adjusted color in a display image according to the to-be-adjusted color pointed by the color selection instruction; extracting the image of the to-be-adjusted region, and obtaining the to-be-adjusted color image; filtering the to-be-adjusted color of the image of the to-be-adjusted region in the display image, and obtaining and displaying the filtered display image; adjusting the attribute parameters of the to-be-adjusted color in the to-be-adjusted color image according to an attribute adjustment instruction when the attribute adjustment instruction of the to-be-adjusted color is received, obtaining the adjusted color image, and correspondingly displaying the adjusted color image in the to-be-adjusted region of the display image. The invention also correspondingly provides an image quality adjusting system and a television set. According to the invention, the method enables a user to quickly and visually determines the color in the display image, is low in threshold of image quality adjustment, and is high in adjustment efficiency.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image quality adjustment method and system, and a television. Background technique [0002] Through the color setting page in the factory menu, the customer can manually change the items corresponding to the basic colors such as red / green / blue / cyan / purple / yellow / skin color / yellow green / blue green to adjust the picture color, and each basic color has a With its own corresponding adjustment range, the debugger needs to judge the basic composition color of the current picture according to the professional knowledge or experience of image quality, and then fine-tune the three attributes of the guessed basic color: saturation / brightness / hue, and finally Adjust the picture quality effect that meets the customer's requirements. [0003] The customer has the following problems when debugging based on the image quality debugging method provided by the traditional factory menu...

AI Technical Summary

Problems solved by technology

[0004] 1. The debugging screen is not intuitive, because some colors displayed on the TV screen are not single colors such as red / green / blue / cyan / purple / yellow / skin color, but are often some mixed or combined colors, and in the factory menu When adjusting the numerical ranges corresponding to these colors, sometimes the screen changes little or not at all, and the customer cannot intuitively locate which color needs to be adjusted in this case

[0005] 2. The efficiency of image quality debugging is relatively low, and it is impossible to accurately locate the composition colors of the current display screen. You can only try each attribute of red / green / blue / cyan / purple / yellow / skin color separately to adjust the power consumption of a screen. It takes a long time, if you want to complete the picture quality adjustment of all channels of a TV, it will take longer

[0006] 3. It is not easy for the client to cooperate to solve the problem. Because it needs to try different colors repeatedly, it will take time for the client to coordinate remotely and the cooperation will be poor. In addition, because the client is required to have a certain understanding of the color to operate, the threshold is relatively high.

bad customer experience

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