CN101841724A - Image processing method - Google Patents

Image processing method Download PDF

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Publication number
CN101841724A
CN101841724A CN200910128982A CN200910128982A CN101841724A CN 101841724 A CN101841724 A CN 101841724A CN 200910128982 A CN200910128982 A CN 200910128982A CN 200910128982 A CN200910128982 A CN 200910128982A CN 101841724 A CN101841724 A CN 101841724A
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original
value
brightness value
chromatic
image processing
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CN200910128982A
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CN101841724B (en
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许景富
赖志章
李俊贤
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Wintek Corp
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Wintek Corp
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Abstract

The invention relates to an image processing method. An image signal is received and converted into an original brightness value, a first original colorimetric value and a second original colorimetric value which correspond to one another. The original brightness value is regulated into a regulated brightness value. If the original brightness value is larger than a critical value, the regulated brightness value is larger than the original brightness value, or if the original brightness value is smaller than the critical value, the regulated brightness value is smaller than the original brightness value. According to an original vector between the first and the second original colorimetric values and a white balance point within a color gamut, the first and the second original colorimetric values are linearly regulated in order to obtain a regulated first colorimetric value and a regulated second colorimetric value. The regulated brightness value, the regulated first colorimetric value and the regulated second colorimetric value are inversely converted into a regulated image signal, which is then outputted.

Description

Image processing method
Technical field
The present invention relates to a kind of image processing method, and particularly relevant for a kind of image processing method that can promote the image frame display quality.
Background technology
In recent years because the fast development of 3G multimedia application utilizes mobile devices such as 3G mobile or PDA(Personal Digital Assistant) to watch digital picture to become popular application.Yet, for fear of the source of digital picture, for example Charged Coupled Device (CCD) or mobile television signal, the contrast deficiency of the image that is provided makes that the image frame tone of being presented on the mobile device screen is dark partially or bright partially, the problem of generation luminance distortion.
Summary of the invention
The present invention utilizes the contrast and the colour vividness that strengthen image about a kind of image processing method, to promote the display quality of image frame.
According to a first aspect of the invention, propose a kind of image processing method, comprise the following steps.Receive a picture signal, and picture signal is converted to a corresponding original brightness value, original first chromatic value and original second chromatic value.Carry out appropriateness according to the original brightness value of input and adjust, when the original brightness value greater than a critical value, then adjusting the back brightness value can be greater than the original brightness value, when perhaps the original brightness value was less than critical value, brightness value can be less than the original brightness value after then adjusting.Original first chromatic value and original second chromatic value are adjusted in SYSTEM OF LINEAR VECTOR ground in a colour gamut and between a white balance point according to original first chromatic value and original second chromatic value, adjust back second chromatic value to obtain adjustment back first chromatic value and.To adjust the back brightness value, adjust back first chromatic value and adjust back second chromatic value and reverse and be changed to one and adjust the back picture signal, and the back picture signal is adjusted in output.
For foregoing of the present invention can be become apparent, a preferred embodiment cited below particularly, and conjunction with figs. are described in detail below:
Description of drawings
Figure 1A illustrates the flow chart according to the image processing method of preferred embodiment of the present invention.
Figure 1B illustrates the schematic flow sheet according to the image processing method of preferred embodiment of the present invention.
Fig. 2 A and Fig. 2 B illustrate the schematic diagram of adjusting according to the brightness value of preferred embodiment of the present invention.
Fig. 3 illustrates the schematic diagram of adjusting according to the chromatic value of preferred embodiment of the present invention.
[primary clustering symbol description]
C- 0~C 4: transformation curve
300: colour gamut
Embodiment
The present invention proposes a kind of image processing method, utilize to strengthen the contrast and the colour vividness of picture material, makes that can to keep image frame under the requirement of pursuing high image quality undistorted, and is promoted the display quality of image frame.
The present invention proposes a kind of image processing method, for example is applied to a display unit, and this display unit for example is a mobile device, so is not limited to this.The method comprises the following steps.Receive a picture signal, and picture signal is converted to a corresponding original brightness value, original first chromatic value and original second chromatic value.Then, carry out appropriateness according to the original brightness value of input and adjust, when the original brightness value greater than a critical value, then adjusting the back brightness value can be greater than the original brightness value, when perhaps the original brightness value was less than critical value, brightness value can be less than the original brightness value after then adjusting.
Secondly, original first chromatic value of foundation and original second chromatic value are in a colour gamut, and the ground of the SYSTEM OF LINEAR VECTOR between a white balance point original first chromatic value of adjustment and original second chromatic value, adjust back first chromatic value and an adjustment back second chromatic value to obtain one.To adjust the back brightness value, adjust back first chromatic value and adjust back second chromatic value and reverse and be changed to one and adjust the back picture signal, and the back picture signal is adjusted in output.
Please refer to Figure 1A, it illustrates the flow chart according to the image processing method of preferred embodiment of the present invention.In order to handle many pixel datas, each pixel data is a picture signal to this image processing method in fact.Next lifting picture signal now is that a rgb signal is that example is done explanation, does not so limit, and picture signal can also be a YUV signal.Please cooperate with reference to Figure 1B, it illustrates the schematic flow sheet according to the image processing method of preferred embodiment of the present invention.Each rgb signal has one group of three primary colors pixel value (R In, G In, B In).In step S100, receive a rgb signal, and one group of three primary colors pixel value of rgb signal is converted to corresponding one group of three primary colors values (as the X among Figure 1B In, Y In, Z In).Because the present invention is that the single pixel data carries out real-time image processing, so do not need extra frame memory (frame memory) in the integral operation process.
In step S110, this group three primary colors values is converted to a corresponding original brightness value, original first chromatic value and original second chromatic value.Wherein, original brightness value, original first chromatic value and original second chromatic value can be to belong to a CIE xyY color space, a CIE LAB color space or a CIE LUV color space, do not limit.Wherein, the CIE LAB color space includes monochrome information (L) and chrominance information (A and B).Next lifting original brightness value, original first chromatic value and original second chromatic value now, to belong to the CIE xyY color space be that example is done explanation.That is, the three primary colors pixel value (R of rgb signal In, G In, B In) be converted into as corresponding original brightness value Y among Figure 1B In, the original first chromatic value x InAnd the original second chromatic value y In
In step S120, adjust original brightness value Y InBe an adjustment back brightness value Y o, wherein if original brightness value Y InGreater than a critical value, then adjust back brightness value Y oGreater than original brightness value Y In, perhaps if original brightness value Y InLess than critical value, then adjust back brightness value Y oLess than original brightness value Y InPlease refer to Fig. 2 A and Fig. 2 B, it illustrates the schematic diagram of adjusting according to the brightness value of preferred embodiment of the present invention.Step S120 desire in fact makes that the brightness value of bright partially attitude is brighter, or makes that the brightness value of dark partially attitude is darker, and then is promoted the contrast (contrast) of image frame.
In Fig. 2 A and Fig. 2 B, if desire keeps original brightness value Y InAnd do not adjust, then be 1 transformation curve C according to slope 0With original brightness value Y InBe converted to and adjust back brightness value Y oIf desire is to original brightness value Y InAdjusting, can for example be C according to different transformation curves then 1~C 4But do not limit, original brightness value Y InBe converted to and adjust back brightness value Y o
Shown in Fig. 2 A and Fig. 2 B, if original brightness value Y InGreater than a critical value Y ThAnd according to transformation curve C 1~C 4Adjust, then adjust back brightness value Y oGreater than original brightness value Y InIf original brightness value Y InLess than critical value Y Th, and according to transformation curve C 1Adjust, then adjust back brightness value Y oLess than original brightness value Y InIf original brightness value Y InLess than critical value Y Th, and according to transformation curve C 2~C 4Adjust, then adjust back brightness value Y oEqual original brightness value Y InThat is the brightness value of bright partially attitude can be brighter, and the brightness value of dark partially attitude optionally remains unchanged.
In addition, the applied display unit of the present invention can add a photoelectricity sensing component (ambient light photo sensor, ALPS), in order to the variation of sensing external environment light.Thus, can change decision original brightness value Y according to the external environment light that senses InInstitute converts to according to this and adjusts back brightness value Y oTransformation curve, make the contrast of the image frame that display unit is shown can have environmental suitability.For instance, stronger if optical sensing subassembly senses external environment light, the image frame of then represent this moment is an attitude partially secretly, so can select transformation curve C 4With original brightness value Y InConvert to and adjust back brightness value Y o, so that the controlled more inclined to one side brightness of image frame, and the part of dark partially attitude does not adjust the purpose of strengthening image comparison to reach.Otherwise on the weak side if optical sensing subassembly senses external environment light, then represent image frame at this moment may be bright relatively partially attitude or moderate, then selects transformation curve C 3With original brightness value Y InConvert to and adjust back brightness value Y o,, or also can not carry out any adjustment and handle with the fine tune image frame.
In step S130, according to the original first chromatic value x InAnd the original second chromatic value y InIn a colour gamut (color gamut) with a white balance point (x s, y s) between an original vector adjust the original first chromatic value x linearly InAnd the original second chromatic value y In, adjust the back first chromatic value x to obtain one oAn and the adjustment back second chromatic value y oWherein, adjust the back first chromatic value x oAnd this adjusts the back second chromatic value y oThe scope that does not exceed colour gamut.
Please refer to Fig. 3, it illustrates the schematic diagram of adjusting according to the chromatic value of preferred embodiment of the present invention.In colour gamut 300, the original first chromatic value x InAnd the original second chromatic value y InWith white balance point (x s, y s) between vector be an original vector v 1According to original vector v 1And a color purity of corresponding rgb signal (color purity CP) adjusts the original first chromatic value x linearly InAnd the original second chromatic value y In, to obtain adjusting the back first chromatic value x oAnd the second chromatic value y after adjusting oWherein, color purity is the three primary colors pixel value (R of rgb signal In, G In, B In) in, the difference of max pixel value and minimum pixel value.Please refer to following formula (1):
CP=max(R in,G in,B in)-min(R in,G in,B in) (1)
In colour gamut 300, adjust the back first chromatic value x oAnd the second chromatic value y after adjusting oWith white balance point (x s, y s) between vector be one to adjust the back vector v 2Wherein, adjust the back vector v 2Size be original vector v 1Size k doubly, the value of k is more than or equal to 1.In fact, if color purity is more little, i.e. representative has bigger color to increase gorgeous space, so the value of corresponding k is big more.In the flow process of the disclosed image processing method of the present invention, can utilize range formula to adjust the back first chromatic value x to obtain oAnd the second chromatic value y after adjusting oPlease refer to following formula (2):
( x o - x s ) 2 + ( y o - y s ) 2 = k ( x m - x s ) 2 + ( y m - y s ) 2 - - - ( 2 )
Wherein, the value of k determines according to the color purity of rgb signal in fact.Can and inquire about a look-up table (LUT) by the scope of judging color purity, and can obtain given different k value according to different color purity scopes, wherein the value of k is more than or equal to 1.In addition, the value maximum of k can be given and fixed on approximately 1.6, but does not limit.
In addition, step S120 is in fact in order to the brightness value after the conversion of adjustment rgb signal, and step S130 is in fact in order to adjust the chromatic value after rgb signal is changed.In present embodiment, the execution sequence of step S120 and step S130 does not limit, and also can carry out simultaneously.
Afterwards, in step S140, will adjust back brightness value Y o, adjust the back first chromatic value x oAnd the second chromatic value y after adjusting oReverse is changed to corresponding adjustment back tristimulus values (as the X among Figure 1B o, Y o, Z o), and the tristimulus values reverse is changed to corresponding one group of three primary colors pixel value (R after will adjusting o, G o, B o), adjust the back rgb signal to obtain one, and the back rgb signal is adjusted in output.Thus, can improve the image frame contrast and the colour vividness of display unit.
The disclosed image processing method of the above embodiment of the present invention has multiple advantages, below only enumerates the part advantage and is described as follows:
Image processing method of the present invention, make the bright more partially attitude of pixel data of tool high luminance values, or make the pixel data more partially dark attitude of tool than low brightness values, and the less pixel of color purity is compared the color brightening of big degree, and the bigger pixel of color purity is compared the color brightening of little degree, so can effectively strengthen the contrast and the colour vividness of image frame, make that can to keep image frame under the requirement of pursuing high image quality undistorted, and then promote the display quality of image frame.In addition, the present invention carries out real-time image processing to each pixel data of image frame respectively, so do not need extra frame memory in the integral operation process, has lower hardware complexity, can effectively reduce cost.
In sum, though the present invention discloses as above with a preferred embodiment, so it is not in order to limit the present invention.The technical staff of the technical field of the invention, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is as the criterion when looking the accompanying Claim book person of defining.

Claims (12)

1. image processing method comprises:
Receive a picture signal, and this picture signal is converted to a corresponding original brightness value, original first chromatic value and original second chromatic value;
Adjusting this original brightness value is an adjustment back brightness value, wherein if this original brightness value greater than a critical value, then should adjust the back brightness value greater than this original brightness value, perhaps if this original brightness value, then should be adjusted the back brightness value less than this critical value less than this original brightness value;
Adjust this original first chromatic value and this original second chromatic value linearly according to this original first chromatic value and the original vector of this original second chromatic value in a colour gamut and between a white balance point, adjust back first chromatic value and an adjustment back second chromatic value to obtain one; And
Should adjust back brightness value, this adjustment back first chromatic value and second chromatic value reverse of this adjustment back and be changed to an adjustment back picture signal, and export this adjustment back picture signal.
2. image processing method as claimed in claim 1, wherein this picture signal is a YUV signal.
3. image processing method as claimed in claim 1, wherein this picture signal is a rgb signal.
4. image processing method as claimed in claim 3 more comprises:
One group of three primary colors pixel value of this rgb signal is converted to corresponding one group of three primary colors values; And
The three primary colors values be should organize and corresponding this original brightness value, this original first chromatic value and this original second chromatic value were converted to.
5. image processing method as claimed in claim 1, wherein this original brightness value, this original first chromatic value and this original second chromatic value belong to a CIE xyY color space.
6. image processing method as claimed in claim 1, wherein this original brightness value, this original first chromatic value and this original second chromatic value belong to a CIE LAB color space.
7. image processing method as claimed in claim 1, wherein this original brightness value, this original first chromatic value and this original second chromatic value belong to a CIE LUV color space.
8. image processing method as claimed in claim 1 more comprises:
According to the variation of a photoelectricity sensing component ALPS sensing external environment light, and adjust this original brightness value according to this and be the back brightness value of this adjustment.
9. image processing method as claimed in claim 1 more comprises:
Adjust this original first chromatic value and this original second chromatic value linearly according to this original vector and to a color purity that should picture signal, to obtain back first chromatic value of this adjustments and this adjustment second chromatic value afterwards.
10. image processing method as claimed in claim 9 wherein should be adjusted back first chromatic value and this and adjust back second chromatic value one in this colour gamut and between this white balance point and adjust k times of size that the size of back vector be this original vector, and k is more than or equal to 1.
11. image processing method as claimed in claim 10, wherein if this color purity is more little, the value of k is big more.
12. image processing method as claimed in claim 9, wherein this picture signal is a rgb signal, and this rgb signal has one group of three primary colors pixel value, and this color purity is organized in three primary colors pixel value the difference of max pixel value and minimum pixel value for this.
CN2009101289821A 2009-03-20 2009-03-20 Image processing method Expired - Fee Related CN101841724B (en)

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CN102857789A (en) * 2012-09-07 2013-01-02 中兴通讯股份有限公司 Device and method for intelligently processing camera effects
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CN103761948A (en) * 2013-12-30 2014-04-30 Tcl显示科技(惠州)有限公司 White balance debugging method and device and display method and device of displayer
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CN104144332A (en) * 2013-05-09 2014-11-12 华硕电脑股份有限公司 Image color adjusting method and electronic device using the same
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US7042521B2 (en) * 2002-08-29 2006-05-09 Samsung Electronics Co., Ltd. Method for color saturation adjustment in an RGB color system
US20070053587A1 (en) * 2005-08-24 2007-03-08 Ali Walid S Techniques to improve contrast enhancement using a luminance histogram
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CN102231787B (en) * 2011-07-18 2013-02-13 格科微电子(上海)有限公司 Image color correction method and device
CN102231787A (en) * 2011-07-18 2011-11-02 格科微电子(上海)有限公司 Image color correction method and device
CN102857789B (en) * 2012-09-07 2015-04-01 中兴通讯股份有限公司 Device and method for intelligently processing camera effects
CN102857789A (en) * 2012-09-07 2013-01-02 中兴通讯股份有限公司 Device and method for intelligently processing camera effects
CN104144332B (en) * 2013-05-09 2017-04-12 华硕电脑股份有限公司 Image color adjusting method and electronic device using the same
CN104144332A (en) * 2013-05-09 2014-11-12 华硕电脑股份有限公司 Image color adjusting method and electronic device using the same
CN103489402B (en) * 2013-09-24 2015-10-28 广东威创视讯科技股份有限公司 The adjustment method of mosaic display screen and system
CN103489402A (en) * 2013-09-24 2014-01-01 广东威创视讯科技股份有限公司 Debugging method and system for splicing display screen
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CN115250345B (en) * 2021-04-27 2023-06-13 凌巨科技股份有限公司 Image processing apparatus and method for adjusting white balance

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