Adjusting method for the image quality

An adjustment method and image technology, applied in image communication, components of color TV, components of TV systems, etc., can solve problems such as cost increase and difficulty in popularization, and achieve the effect of enriching grayscale and color gradation performance.

Active Publication Date: 2007-09-12
SHENZHEN TCL NEW-TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It brings a significant increase in cost, and it is also difficult to popularize on existing models

Method used

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  • Adjusting method for the image quality
  • Adjusting method for the image quality

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specific Embodiment approach 1

[0036] Specific embodiment one: for the system architecture shown in Figure 1, the steps of the TV image quality adjustment of the present invention are as follows:

[0037] (1) Initialization: S=0, Ba=0, wherein, S: a memory variable related to the adjustment speed; Ba: the actual reduction of the brightness value of the image state.

[0038] (2) Calculate Yi: the overall brightness of the image signal output by the front-end Video Decoder or ADC module, calculated by the formula Yi=Yd / d.

[0039] Yd: is the accumulated value of the luminance values ​​of all effective pixels of the input image signal (that is, from the Video Decoder or ADC module) by the Scaler module. The accumulated value has a total of 32 bits, and the upper 8 bits are actually assigned to Yd.

[0040] d: Resolution conversion factor. For standard definition signal d=1; for high definition signal d=total pixels of high definition format / 720*480, such as 720P signal, d=1280*720 / 720*480=2.67

[0041] (3) ...

specific Embodiment approach 2

[0061] Specific embodiment two: if the dynamic regulation of brightness is realized in front-end video decoder or ADC module, can influence the real Yd value of image, in this case, need to adjust Yi when using the method of the present invention to adjust the TV image quality To compensate, the compensation formula is:

[0062] Yi=(Yd+y*Ba) / d y: compensation factor, determined through actual measurement.

[0063] If you do not want to perform compensation calculation or the compensation is inaccurate, you do not need to perform compensation, but you must

[0064] if Ba

[0065] if Ba>Bi, Ba=Ba-1

[0066] changed to

[0067] if Ba

[0068] if Ba>Bi, Ba=Ba-1

[0069] The purpose of such modification is to prevent self-excitation, and at the same time ensure that when Bi is 0, Ba must be able to return to zero, so as to ensure that the level of the dark picture is not lost. Specific processing steps may be performed with reference to the operati...

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PUM

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Abstract

The invention is an image quality regulating method, detecting and calculating the brightness accumulated value of all effective pixel points on a functional hardware platform of detecting the whole image brightness, and calculating the whole brightness of image signals according to the brightness accumulated value, and determining a target brightness value and then regulating brightness value and simultaneously compensating image contrast. And the method can real-timely regulate the brightness according to the dynamic change of the displayed image brightness, and besides, correspondingly regulate the image contrast, thus enriching expression of grey levels and color levels and making the display image have high-contrast effect.

Description

technical field [0001] The invention relates to an image picture quality adjustment technology of a video device, in particular to a dynamic real-time tracking adjustment technology for realizing the image brightness and contrast of a TV dynamic picture. Background technique [0002] With the rapid development of TV technology, various technologies for image quality processing are also emerging, such as conventional black level extension, blue level extension, SVM processing, and for TVs that use digital processing chips, there are more image noise processing technologies. Noise reduction processing, skin tone correction for color improvement, and more. These processing methods have played a great role in improving and enhancing the picture quality, providing users with better picture effects. However, there are still some unsatisfactory aspects when using the above-mentioned image quality processing method to adjust the picture. For example, for those pictures that are gen...

Claims

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Application Information

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IPC IPC(8): H04N5/14G09G5/10
Inventor 文东欧智辉
Owner SHENZHEN TCL NEW-TECH CO LTD
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