CN105761267A - Image processing method and device - Google Patents
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- G—PHYSICS
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
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Abstract
The invention discloses an image processing method and device, and the method comprises the steps: obtaining a to-be-displayed image, carrying out the preprocessing of the to-be-displayed image through an edge detection operator, and obtaining an ROI in the to-be-displayed image; calculating the characteristic parameters of the ROI; obtaining a target mapping function according to the characteristic parameters and a linear regression method; carrying out the adaptive adjustment of the characteristic parameters according to the target mapping function when the characteristic parameters are determined to meet a preset adjustment condition according to the characteristic parameters and the target mapping function, and enabling the to-be-displayed image to be outputted and displayed after adaptive adjustment. The method achieves the adaptive adjustment, and improves the display quality of the image and the user experience.
Description
Technical field
The present invention relates to image processing field, particularly relate to method and the device of a kind of image procossing.
Background technology
Owing to the scene of mobile phone application is more, the display quality of mobile phone screen and residing environmental factors have certain association, such as can see the content that screen shows under indoor light clearly, but move under outdoor high light, user is difficult to see the similar scenes such as the content that screen shows, user wants to see the content that different scene sub-screen shows, then needs to be performed manually by adjustment, as can be seen here, screen luminance of mobile phone keeps constant brightness and is not suitable with the mobile phone use in different scenes.
It is generally adopted content-adaptive dynamic backlight at present and controls (English full name: ContentAdaptiveBacklightControl, English abbreviation: CABC) technology raising mobile phone Consumer's Experience under different scenes, CABC technology is broadly divided into overall situation backlight control and local backlight control two kinds, when adopting CABC technology, backlight screen brightness can be adjusted according to the brightness of the image content of display, such as show that black or color reduce automatically than backlight time dark, or utilize light sensor, backlight screen brightness is automatically reduced according to environmental light intensity.
But traditional CABC technology is the brightness adjustment backlight illumination according to image content, and suitable backlight screen brightness cannot be selected intelligently according to the image content of display, such as user is when reading documents and viewing picture, only according to the brightness adjustment backlight illumination of image content, then can not reach to be suitable for the desired backlight screen brightness of user.
Summary of the invention
The invention provides a kind of method of image procossing and device, it is possible to solve the problem that in prior art, mobile phone display effect is poor.
First aspect provides a kind of method of image procossing, and described method includes:
Obtain image to be shown, by edge detection operator, described image to be shown is carried out pretreatment, obtain the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter carried out self-adaptative adjustment, and the image described to be shown after self-adaptative adjustment is exported and shows.
Optionally, described characteristic parameter includes the comentropy of the saturation of described ROI, the intrinsic brilliance value of described ROI and described ROI.
In the design that some are possible, owing to the display effect of electronic equipment display screen is relevant with environmental light intensity, when calculating suitable mapping function, also need to the ambient light intensity that the built-in light sensor detection electronic equipment of electronic equipment is presently in, then the mapping relations according to the light intensity pre-set with the suitableeest brightness value of human eye, determine the suitableeest brightness value of human eye of applicable current environment light intensity, and using this suitableeest brightness value of human eye as desired value, described linear regression method is utilized to determine for describing described desired value, described saturation, the described target mapping function of the quantitative relationship between described intrinsic brilliance value and described comentropy；
The theoretical brightness value obtaining described image to be shown is calculated according to described target mapping function, described desired value, described saturation and described comentropy, and described intrinsic brilliance value is compared with described theoretical brightness value, obtain the difference of described intrinsic brilliance value and described theoretical brightness value；
When described difference is beyond when presetting error burst, then intrinsic brilliance value current for described ROI switching to described theoretical brightness value.
The target mapping function obtaining corresponding ROI is calculated by above three characteristic parameter and desired value, the brightness value needing to adjust can be calculated according to this target mapping function, simplify calculating process, the processor burden of electronic equipment will not be increased, it is also possible to be suitable for use with the electronic equipment of low side processor.
In the design that some are possible, owing to the disposal ability of electronic equipment is different, the use of electronic equipment is not affected improve the premise of display quality for guarantee while, the quantity of the ROI of selection can also be set according to the disposal ability of electronic equipment, selected ROI quantity is more many, the display quality of electronic equipment is more high, first obtain each ROI characteristic of correspondence parameter respectively, then characteristic parameter is utilized to determine mapping function corresponding to each ROI with linear regression, re-use the mapping function obtained and respectively corresponding ROI is carried out the adjustment of backlight brightness values, thus improving the display quality of electronic equipment, it is embodied as: described target mapping function is piecewise linear maps function.
In the design that some are possible, in foregoing, display quality is improved by improving the brightness value of each pixel in ROI, namely ensure that for preventing pixel from overflowing in ROI, most pixel is undistorted, the brightness value improved at the image of different brightness section for brightness value is defined, and is broadly divided into following two situation:
1, classify according to the average brightness value of pixel each in ROI:
The number of described ROI is at least one, when intrinsic brilliance value current for described ROI switches to described theoretical brightness value, at least meets the following conditions:
When in described ROI, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described ROI, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described ROI, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
2, according to the average brightness value classification of each pixel in initial pictures and image to be shown:
When intrinsic brilliance value current for described ROI being switched to described theoretical brightness value, at least meet the following conditions:
When in described image to be shown, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described image to be shown, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described image to be shown, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
Mapping function is divided into piecewise linear function by the average brightness value according to pixel each in ROI or initial pictures, thus when calculating the brightness value needing to increase or reduce, the brightness value of each pixel in ROI can be adjusted according to piecewise linear function, more specific aim after segmentation, improves the accuracy adjusting brightness value.
In the design that some are possible, while the brightness value passing through raising image pixel improves display quality, the backlight brightness values of the backlight screen of electronic equipment can also be regulated further, simultaneously for ensureing to still ensure that after above-mentioned twice adjustment the pixel of image major part ratio is undistorted, it is possible to realize by the following means:
Described according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment after, described image described to be shown after self-adaptative adjustment is exported and shows before, backlight brightness values can be suitably reduced according to the average brightness value of pixel each in ROI, then, described method at least also includes one below:
When in determining described ROI, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Or, it is also possible to suitably reduce backlight brightness values according to the average brightness value of pixel each in initial pictures, then, described method at least also includes one below:
When in determining described image to be shown, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Mapping function is divided into piecewise linear function by the average brightness value according to pixel each in ROI or initial pictures, thus when needing the brightness value increasing or reducing, the backlight brightness values that initial pictures is current can be reduced according to piecewise linear function, more specific aim after segmentation, improve the accuracy adjusting backlight brightness values, reach the purpose of energy efficient, extend the use duration of electronic equipment.
Second aspect present invention provides the device of a kind of image procossing, has the function of the method for the image procossing that realization provides corresponding to above-mentioned first aspect.Described function can be realized by hardware, it is also possible to performs corresponding software by hardware and realizes.Hardware or software include one or more module corresponding with above-mentioned functions, and described module can be software and/or hardware.
In a kind of possible design, the device of described image procossing includes:
Receiver module, for obtaining image to be shown.
Processing module, is carried out pretreatment for the image described to be shown described receiver module obtained by edge detection operator, obtains the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment；
Display module, for will be exported by the image described to be shown after described processing module self-adaptative adjustment and be shown.
In a kind of possible design, the device of described image procossing includes:
Interconnective processor, memorizer, receptor and display screen；
Wherein, described memorizer is used for storing program code, and the program code that described processor is used for calling in described memorizer is to perform following operation:
Described receptor is utilized to obtain image to be shown；
The image described to be shown described receptor obtained by edge detection operator carries out pretreatment, obtains the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment；
And by display screen, the image described to be shown after self-adaptative adjustment is exported and shows.
Third aspect present invention provides a kind of electronic equipment, has the function of the method for the image procossing that realization provides corresponding to above-mentioned first aspect.Described function can be realized by hardware, it is also possible to performs corresponding software by hardware and realizes.Hardware or software include one or more module corresponding with above-mentioned functions, and described module can be software and/or hardware.
In a kind of possible design, described electronic equipment includes:
The device of the image procossing described in second aspect.
Compared to prior art, in scheme provided by the invention, by extracting ROI from image to be shown, this ROI can represent the principal character of whole image, more targeted, and calculate the characteristic parameter obtaining in ROI, obtain target mapping function according to described characteristic parameter and linear regression method, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment, improve display quality and the Consumer's Experience of image.
Accompanying drawing explanation
Fig. 1 is the embodiment schematic diagram of a kind of method of image procossing in the embodiment of the present invention；
Fig. 2 is a kind of structural representation of the device of image procossing in the embodiment of the present invention；
Fig. 3 is the another kind of structural representation of the device of image procossing in the embodiment of the present invention；
Fig. 4 is a kind of structural representation of electronic equipment in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention; technical scheme in the embodiment of the present invention is clearly and completely described; obviously; described embodiment is only a part of embodiment of the present invention; rather than whole embodiments; based on the embodiment in the present invention, the every other embodiment that those skilled in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
Term " first " in description and claims of this specification and above-mentioned accompanying drawing, " second " etc. are for distinguishing similar object, without being used for describing specific order or precedence.Should be appreciated that the data of so use can be exchanged in the appropriate case, in order to the embodiments described herein can be implemented with the order except the content of here diagram or description.nullIn addition，Term " includes " and " having " and their any deformation，It is intended to cover non-exclusive comprising，Such as，Contain the process of series of steps or module、Method、System、Product or equipment are not necessarily limited to those steps or the module clearly listed，But can include clearly not listing or for these processes、Method、Product or intrinsic other step of equipment or module，The division of the module occurred herein，It it is only a kind of division in logic，Other dividing mode can be had when practical application realizes，Such as multiple modules can be combined into or be integrated in another system，Or some features can ignore，Or do not perform，Additionally，Coupling each other that is shown or that discuss or direct-coupling or communication connection can be through some interfaces，INDIRECT COUPLING or communication connection between module can be electrical or that other are similar forms，All it is not construed as limiting herein.And, the module illustrated as separating component or submodule can be may not be separation physically, can be may not be physical module, or can divide less than in multiple circuit modules, it is possible to select part or all of module therein to realize the purpose of embodiment of the present invention scheme according to the actual needs.
Embodiments provide method and the device of a kind of image procossing, for image processing field, it is possible to according to picture material self-adaptative adjustment image pixel and backlight brightness values, improve display quality and the Consumer's Experience of electronic equipment.Illustrate in detail below.
(English full name: RegionOfInterest interested herein, English abbreviation: ROI) for the region of the principal character of the currently displaying source images of electronic equipment can be represented, ROI is without departing from the scope of this source images, computer vision storehouse (English full name: the OpenSourceComputerVisionLibrary that increases income can be passed through, English abbreviation: OpenCV) source images is arranged ROI, realize the segmentation to source images, make to carry out related operation when using function just for ROI, therefore when using ROI that source images is processed, the emphasis that user pays close attention to can be drawn a circle to approve targetedly, it is effectively improved image processing efficiency, also increase the precision of image procossing simultaneously.
Just noticeable difference (English full name: Just-NoticeableDifference, English abbreviation: JND) is the unit of quantity for measuring two kinds of sensation psychological differences degree, utilizes the principle of human eye vision redundancy, objective appraisal picture quality.
Wherein, it should be noted that, the electronic equipment that the present embodiments relate to is the equipment with display image information function, can be all equipment with display screen or display or display device or touch screen or display floater etc., such as portable equipment, mobile terminal, mobile phone (or being called " honeycomb " phone), combination, electronic test equipment, computer, there is the computer etc. of mobile terminal, it is possible to be portable, pocket, hand-held, built-in computer or vehicle-mounted mobile device.The type of electronic equipment is all not construed as limiting herein.
Due to user in different scenes (such as, outdoor high light, outdoor cloudy day, indoor light, indoor darkroom etc.) use electronic equipment time, picture quality shown by electronic equipment changes for a user, fix, currently displaying image is not appropriate for human visual system (English full name: HumanVisualSystem, English abbreviation: HVS), cause that user cannot clearly see the content that image shows clearly, Consumer's Experience is relatively low.For solving above-mentioned technical problem, the embodiment of the present invention mainly provides techniques below scheme:
1, from the image of input electronic equipment, ROI is extracted；
2, the characteristic parameter in ROI is obtained；
3, the mapping function mated with this characteristic parameter is obtained；
4, use this mapping function that this characteristic parameter is adjusted, image after adjusting is exported and shows in technique scheme, by choosing the ROI in image targetedly, is adjusted only for the characteristic parameter in ROI, image processing efficiency and accuracy can be improved, it is achieved self-adaptative adjustment.
Refer to Fig. 1, below the present invention is provided a kind of image procossing method be illustrated, described method includes:
101, image to be shown is obtained.
When described image to be shown is user operation electronic equipment, the content shown by electronic equipment display screen, it is possible to be the icon in electronic equipment, text, the image of input electronic equipment, the image of new web page, application interface etc., be not construed as limiting herein.
102, by edge detection operator, described image to be shown is carried out pretreatment, obtain the ROI interested in described image to be shown.
Wherein, edge detection operator is mainly used in obtaining the First-order Gradient of digital picture, may include that gradient operator, Luo Baici operator (English full name: Roberts) gradient operator, Puri Wei Te (English full name: Prewitt) operator, Sobel Operator (English full name: Sobel operator), directional operator, Laplce (English full name: Laplacian) operator, Ma Er operator, Tuscany (English full name: Canny) edge detection operator, Shen Jun edge detection method and Surface Fitting etc..
103, the characteristic parameter in described ROI is calculated.
Wherein, described characteristic parameter includes the comentropy of the saturation of described ROI, the intrinsic brilliance value of described ROI and described ROI, and these three characteristic parameter can describe the principal character of above-mentioned image to be shown.
104, target mapping function is obtained according to described characteristic parameter and linear regression method.
Owing to the display effect of electronic equipment display screen is relevant with environmental light intensity, when calculating suitable mapping function, also need to the ambient light intensity that the built-in light sensor detection electronic equipment of electronic equipment is presently in, then the mapping relations according to the light intensity pre-set with the suitableeest brightness value of human eye (i.e. the backlight brightness values of the backlight screen optimum human eye of electronic equipment under current light intensity), determine the suitableeest brightness value of human eye of applicable current environment light intensity, and using this suitableeest brightness value of human eye as desired value, described linear regression method is utilized to determine for describing described desired value, described saturation, the described target mapping function of the quantitative relationship between described intrinsic brilliance value and described comentropy.Wherein, light intensity is carry out experiment test and the model that statistics obtains under different light intensity scenes from the mapping relations of the suitableeest brightness value of human eye, does not repeat herein and limits.
Optionally, owing to the disposal ability of electronic equipment is different, the use of electronic equipment is not affected improve the premise of display quality for guarantee while, the quantity of the ROI of selection can also be set according to the disposal ability of electronic equipment, selected ROI quantity is more many, the display quality of electronic equipment is more high, first obtain each ROI characteristic of correspondence parameter respectively, then characteristic parameter is utilized to determine mapping function corresponding to each ROI with linear regression, re-use the mapping function obtained and respectively corresponding ROI is carried out the adjustment of backlight brightness values, thus improving the display quality of electronic equipment, it is embodied as: described target mapping function is piecewise linear maps function.
For example, from source images, ROI is extracted1、ROI2And ROI3, and calculate ROI respectively1、ROI2And ROI3Respective characteristic of correspondence parameter, and use linear regression method to respectively obtain ROI1First mapping function of correspondence, ROI2The second corresponding mapping function and ROI3The 3rd corresponding mapping function, the first mapping function, the second mapping function and the 3rd mapping function are the linear mapping function of segmentation, and the quantity of the mapping function of concrete segmentation is determined by the ROI quantity split, and is not construed as limiting herein.
105, when determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment.
After obtaining described target mapping function at step 104, concrete adjustment process is as follows:
The theoretical brightness value obtaining described image to be shown is calculated according to described target mapping function, described desired value, described saturation and described comentropy, and described intrinsic brilliance value is compared with described theoretical brightness value, obtain the difference of described intrinsic brilliance value and described theoretical brightness value；
When described difference beyond when presetting error burst, then switching to described theoretical brightness value by intrinsic brilliance value current for described ROI, described theoretical brightness value is more suitable for HVS than intrinsic brilliance value.Wherein, preset error burst JND to represent.
The target mapping function obtaining corresponding ROI is calculated by above three characteristic parameter and desired value, the brightness value needing to adjust can be calculated according to this target mapping function, simplify calculating process, the processor burden of electronic equipment will not be increased, it is also possible to be suitable for use with the electronic equipment of low side processor.
106, the image described to be shown after self-adaptative adjustment is exported and shows.
In the embodiment of the present invention, by extracting ROI from image to be shown, this ROI can represent the principal character of whole image, more targeted, and calculate the characteristic parameter obtaining in ROI, obtain target mapping function according to described characteristic parameter and linear regression method, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment, improve display quality and the Consumer's Experience of image.
Optionally, in some inventive embodiments, display quality is improved by improving the brightness value of each pixel in ROI, namely ensure that for preventing pixel from overflowing further in ROI, most pixel is undistorted, the brightness value improved at the image of different brightness section for brightness value is defined, and is broadly divided into following two situation:
One, classify according to the average brightness value of pixel each in ROI:
The number of described ROI is at least one, when intrinsic brilliance value current for described ROI switches to described theoretical brightness value, at least meets the following conditions:
When in described ROI, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described ROI, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described ROI, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
Two, according to the average brightness value classification of each pixel in initial pictures and image to be shown:
When intrinsic brilliance value current for described ROI being switched to described theoretical brightness value, at least meet the following conditions:
When in described image to be shown, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described image to be shown, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described image to be shown, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
Mapping function is divided into piecewise linear function by the average brightness value according to pixel each in ROI or initial pictures, thus when calculating the brightness value needing to increase or reduce, the brightness value of each pixel in ROI can be adjusted according to piecewise linear function, more specific aim after segmentation, improves the accuracy adjusting brightness value.
For example, it is adaptable to the formula model of the mapping function of multiple prevailing scenario is:
Y=D-a*SF-b*IF-c*H
Wherein, Y is the suitableeest brightness value of human eye, SF is saturation (English full name: Saturation), IF is brightness value (English full name: LuminanceValue), H is comentropy (English full name: Comentropy), SF, IF and H are three characteristic parameters calculated from image currently to be shown, a, b, c respectively are the corresponding coefficient of these three characteristic parameter, it should be noted that, under the scene of same light intensity, Y, a, b, c are fixed value, and D is constant, under the scene of different light intensities, Y, a, b, c value is different.
Such as, under the scene of indoor light, a=0.287, b=0.413, c=23.563, D=436.96.
It is understandable that, in this alternative embodiment, under the premise that the processor ability of electronic equipment is stronger, the number of times adjusting brightness value can also be set according to the actual treatment ability of processor or user's request, namely after adjusting a brightness value, may determine that whether the brightness value after current adjustment reaches intended display effect, if not, then can continue to repeat the scheme described in the embodiment corresponding to above-mentioned Fig. 1, number of repetition is more many, display quality is more high, the concrete number of times repeated is determined by disposal ability and/or the user's request of processor, it is not construed as limiting herein.
Optionally, in some inventive embodiments, while the brightness value passing through raising image pixel improves display quality, the backlight brightness values of the backlight screen of electronic equipment can also be regulated further, simultaneously for ensureing to still ensure that after above-mentioned twice adjustment the pixel of image major part ratio is undistorted, it is possible to realize by the following means:
Described according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment after, described image described to be shown after self-adaptative adjustment is exported and shows before, backlight brightness values can be suitably reduced according to the average brightness value of pixel each in ROI, then, described method at least also includes one below:
When in determining described ROI, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Or, it is also possible to suitably reduce backlight brightness values according to the average brightness value of pixel each in initial pictures, then, described method at least also includes one below:
When in determining described image to be shown, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Mapping function is divided into piecewise linear function by the average brightness value according to pixel each in ROI or initial pictures, thus when needing the brightness value increasing or reducing, the backlight brightness values that initial pictures is current can be reduced according to piecewise linear function, more specific aim after segmentation, improve the accuracy adjusting backlight brightness values, reach the purpose of energy efficient, extend the use duration of electronic equipment.
For example, the average brightness value of pixel each in ROI or image is set to dark figure less than the image of described first threshold, the average brightness value of pixel each in ROI or image is set to middle figure more than described first threshold and less than the image of described Second Threshold, the average brightness value of pixel each in ROI or image is set to bright figure more than the image of described Second Threshold, first the image type of image to be adjusted can be determined by calculating average brightness value, then when using corresponding mapping function that this image is adjusted, ensure that the brightness value increased meets the scope of above-mentioned restriction.Such as, the average brightness value image less than or equal to 90 is set to dark figure, the average brightness value image more than 90 and less than 135 is set to middle figure, the average brightness value image more than or equal to 135 is set to bright figure, then for the dark figure brightness increased less than the 1/12 of dark figure mean flow rate, for the middle figure brightness increased less than the 1/9 of middle figure mean flow rate, for the bright figure brightness increased less than the 1/10 of bright figure mean flow rate, can also define: when increasing brightness for dark figure, middle figure and bright figure, the brightness value Δ L scope increased meets: 3≤Δ L≤12.
Optionally, a piecewise linear function can be summarized as about the mode suitably reducing backlight brightness values according to the average brightness value of pixel each in ROI or initial pictures, below with first threshold for 90, be example when Second Threshold is 135, as follows:
B1=36-3*lt；
B2=30-lt；
B3=3*lt+9；
…
Bn=...
Wherein, lt represents the pixel brightness value increased on the basis of original image, can according to practical application time image is carried out Definition of Division after, set up corresponding piecewise linear function, this piecewise linear function no maximum, divide with specific reference to the precision required by image procossing, what divide is more thin, and the display quality of the image after process is higher, simultaneously, requiring also more high to the disposal ability of electronic equipment, the concrete form of above-mentioned piecewise linear function is not construed as limiting herein.
By this optional inventive embodiments, can ensure that according to different characteristics of image, illustrate with dark figure: dark figure can reduce more backlight, less (lt of bright figure is less for the backlight that bright figure reduces, easily overflow), additionally, when the backlight brightness values of dark figure is less than 120, the display effect can not brought to user, therefore define a lower limit reducing backlight brightness values respectively (it is to be understood that respectively the image after all divisions all arranges a lower limit, for instance B respectively can also to dark figure, middle figure and bright figure1、B2、B3…BnLower limit is set), for instance, secretly figure: B after reduction backlight brightness values1It is not less than 125；Middle figure: B after reduction backlight brightness values2It is not less than 135；Bright figure: B after reduction backlight brightness values3It is not less than 145, also can prevent the bright figure brightness declined from too much bringing the impact of picture quality simultaneously.
Above the method for image procossing a kind of in the present invention is illustrated, below the execution device of image procossing of method of above-mentioned image procossing, electronic equipment are described.
One, with reference to Fig. 2, the device 20 of image procossing being illustrated, the device 20 of image procossing includes:
Receiver module 201, for obtaining image to be shown.
Processing module 202, is carried out pretreatment for the image described to be shown described receiver module 201 obtained by edge detection operator, obtains the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment；
Display module 203, for will be exported by the image described to be shown after described processing module 202 self-adaptative adjustment and be shown.
In the embodiment of the present invention, processing module 202 extracts ROI from image to be shown, this ROI can represent the principal character of whole image, more targeted, and calculate the characteristic parameter obtaining in ROI, obtain target mapping function according to described characteristic parameter and linear regression method, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment, improve display quality and the Consumer's Experience of image.
Wherein, described characteristic parameter includes the comentropy of the saturation of described ROI, the intrinsic brilliance value of described ROI and described ROI.
Optionally, described target mapping function is piecewise linear maps function.
Optionally, described processing module 202 specifically for:
Determine the suitableeest brightness value of human eye；
Using the described the suitableeest brightness value of human eye as desired value, described linear regression method is utilized to determine the described target mapping function for describing described desired value, described saturation, quantitative relationship between described intrinsic brilliance value and described comentropy；
The theoretical brightness value obtaining described image to be shown is calculated according to described target mapping function, described desired value, described saturation and described comentropy, and described intrinsic brilliance value is compared with described theoretical brightness value, obtain the difference of described intrinsic brilliance value and described theoretical brightness value；
When described difference is beyond when presetting error burst, then intrinsic brilliance value current for described ROI switching to described theoretical brightness value.
Optionally, in some inventive embodiments, the number of described ROI is at least one, and intrinsic brilliance value current for described ROI is switched to described theoretical brightness value by described processing module 202, at least meets the following conditions:
When in described ROI, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described ROI, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described ROI, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
Optionally, in some inventive embodiments, intrinsic brilliance value current for described ROI is switched to described theoretical brightness value by described processing module, at least meets the following conditions:
When in described image to be shown, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described image to be shown, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described image to be shown, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
Optionally, in some inventive embodiments, described processing module 202 is after carrying out self-adaptative adjustment according to described target mapping function to described characteristic parameter, before the image described to be shown after self-adaptative adjustment is exported and shown, also at least also performs one of following steps:
When in determining described ROI, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Optionally, in some inventive embodiments, after described characteristic parameter is carried out self-adaptative adjustment according to described target mapping function by described processing module 202, before the image described to be shown after self-adaptative adjustment is exported and shown, at least also perform one of following steps:
When in determining described image to be shown, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
Two, with reference to Fig. 3, electronic equipment 30 being illustrated, electronic equipment 30 includes:
The device of image procossing as shown in Figure 2 or Figure 3.
It should be noted that entity device corresponding to receiver module in the embodiment that Fig. 2 of the present invention is corresponding can be receptor, the entity device that display module is corresponding can be display screen, and entity device corresponding to processing module can be processor.Device shown in Fig. 2 can have structure as shown in Figure 4, when one of which device has structure as shown in Figure 4, processor in Fig. 4, emitter and receptor realize aforementioned to should the device embodiment of the device processing module, sending module and the same or analogous function of display module that provide, the memorizer storage processor in Fig. 4 needs the program code called when performing the method for above-mentioned image procossing.
The present invention also provides for a kind of computer-readable storage medium, and this media storage has program, and this program includes the some or all of step in the method for above-mentioned image procossing when performing.
The present invention also provides for a kind of computer-readable storage medium, and this media storage has program, and this program includes the some or all of step in the device of above-mentioned image procossing or the method for the electronic equipment above-mentioned image procossing of execution when performing.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, certain embodiment there is no the part described in detail, it is possible to referring to the associated description of other embodiments.
Those skilled in the art is it can be understood that arrive, for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, it is possible to reference to the corresponding process in preceding method embodiment, do not repeat them here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method, it is possible to realize by another way.Such as, device embodiment described above is merely schematic, such as, the division of described unit, being only a kind of logic function to divide, actual can have other dividing mode when realizing, for instance multiple unit or assembly can in conjunction with or be desirably integrated into another system, or some features can ignore, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be through INDIRECT COUPLING or the communication connection of some interfaces, device or unit, it is possible to be electrical, machinery or other form.
The described unit illustrated as separating component can be or may not be physically separate, and the parts shown as unit can be or may not be physical location, namely may be located at a place, or can also be distributed on multiple NE.Some or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to be that unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit is using the form realization of SFU software functional unit and as independent production marketing or use, it is possible to be stored in a computer read/write memory medium.Based on such understanding, part or all or part of of this technical scheme that prior art is contributed by technical scheme substantially in other words can embody with the form of software product, this computer software product is stored in a storage medium, including some instructions with so that a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-OnlyMemory), the various media that can store program code such as random access memory (RAM, RandomAccessMemory), magnetic disc or CD.
Above technical scheme provided by the present invention being described in detail, principles of the invention and embodiment are set forth by specific case used herein, and the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this specification content should not be construed as limitation of the present invention.
Claims (19)
1. the method for an image procossing, it is characterised in that described method includes:
Obtain image to be shown, by edge detection operator, described image to be shown is carried out pretreatment, obtain the region of interest ROI in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter carried out self-adaptative adjustment, and the image described to be shown after self-adaptative adjustment is exported and shows.
2. method according to claim 1, it is characterised in that described characteristic parameter includes the comentropy of the saturation of described ROI, the intrinsic brilliance value of described ROI and described ROI.
3. method according to claim 2, it is characterised in that described method also includes:
Determine the suitableeest brightness value of human eye；
Described when determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, target mapping function is obtained according to described characteristic parameter and linear regression method, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment, including:
Using the described the suitableeest brightness value of human eye as desired value, described linear regression method is utilized to determine the described target mapping function for describing described desired value, described saturation, quantitative relationship between described intrinsic brilliance value and described comentropy；
The theoretical brightness value obtaining described image to be shown is calculated according to described target mapping function, described desired value, described saturation and described comentropy, and described intrinsic brilliance value is compared with described theoretical brightness value, obtain the difference of described intrinsic brilliance value and described theoretical brightness value；
When described difference is beyond when presetting error burst, then intrinsic brilliance value current for described ROI switching to described theoretical brightness value.
4. method according to claim 2, it is characterised in that described target mapping function is piecewise linear maps function.
5. method according to claim 3, it is characterised in that the number of described ROI is at least one, described switches to described theoretical brightness value by intrinsic brilliance value current for described ROI, at least meets the following conditions:
When in described ROI, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described ROI, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described ROI, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
6. method according to claim 3, it is characterised in that described intrinsic brilliance value current for described ROI switches to described theoretical brightness value, at least meets the following conditions:
When in described image to be shown, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described image to be shown, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described image to be shown, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
7. the method according to claim 5 or 6, it is characterized in that, described according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment after, described image described to be shown after self-adaptative adjustment is exported and shows before, described method at least also includes one below:
When in determining described ROI, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
8. the method according to claim 5 or 6, it is characterized in that, described according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment after, described image described to be shown after self-adaptative adjustment is exported and shows before, described method at least also includes one below:
When in determining described image to be shown, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
9. according to the arbitrary described method of claim 3 to 8, it is characterised in that the described the suitableeest brightness value of human eye is detect that the ambient light intensity that described electronic equipment is presently in is determined according to the light sensor in electronic equipment.
10. the device of an image procossing, it is characterised in that the device of described image procossing includes:
Receiver module, for obtaining image to be shown.
Processing module, is carried out pretreatment for the image described to be shown described receiver module obtained by edge detection operator, obtains the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment；
Display module, for will be exported by the image described to be shown after described processing module self-adaptative adjustment and be shown.
11. device according to claim 10, it is characterised in that described characteristic parameter includes the comentropy of the saturation of described ROI, the intrinsic brilliance value of described ROI and described ROI.
12. device according to claim 11, it is characterised in that described processing module specifically for:
Determine the suitableeest brightness value of human eye；
Using the described the suitableeest brightness value of human eye as desired value, described linear regression method is utilized to determine the described target mapping function for describing described desired value, described saturation, quantitative relationship between described intrinsic brilliance value and described comentropy；
The theoretical brightness value obtaining described image to be shown is calculated according to described target mapping function, described desired value, described saturation and described comentropy, and described intrinsic brilliance value is compared with described theoretical brightness value, obtain the difference of described intrinsic brilliance value and described theoretical brightness value；
When described difference is beyond when presetting error burst, then intrinsic brilliance value current for described ROI switching to described theoretical brightness value.
13. device according to claim 11, it is characterised in that described target mapping function is piecewise linear maps function.
14. device according to claim 12, it is characterised in that the number of described ROI is at least one, intrinsic brilliance value current for described ROI is switched to described theoretical brightness value by described processing module, at least meets the following conditions:
When in described ROI, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described ROI, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described ROI, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
15. device according to claim 12, it is characterised in that intrinsic brilliance value current for described ROI is switched to described theoretical brightness value by described processing module, at least meets the following conditions:
When in described image to be shown, the average brightness value of each pixel is not more than first threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the first ratio；
When in described image to be shown, the average brightness value of each pixel is more than described first threshold and less than Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the second ratio；
When in described image to be shown, the average brightness value of each pixel is more than described Second Threshold, the brightness value increased relative to described intrinsic brilliance value is less than the described average brightness value of the 3rd ratio；
It is not less than the 3rd threshold value and less than the 4th threshold value for the described ROI brightness value increased.
16. the device according to claims 14 or 15, it is characterized in that, described processing module is after carrying out self-adaptative adjustment according to described target mapping function to described characteristic parameter, before the image described to be shown after self-adaptative adjustment is exported and shown, also at least also perform one of following steps:
When in determining described ROI, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described ROI, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
17. the device according to claims 14 or 15, it is characterized in that, after described characteristic parameter is carried out self-adaptative adjustment according to described target mapping function by described processing module, before the image described to be shown after self-adaptative adjustment is exported and shown, at least also perform one of following steps:
When in determining described image to be shown, the average brightness value of each pixel is less than described first threshold, according to the first function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described first threshold and less than described Second Threshold, according to the second function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced；
When in determining described image to be shown, the average brightness value of each pixel is more than described Second Threshold, according to the 3rd function, the backlight brightness values of the image described to be shown after self-adaptative adjustment is reduced.
18. the device of an image procossing, it is characterised in that the device of described image procossing includes:
Interconnective processor, memorizer, receptor and display screen；
Wherein, described memorizer is used for storing program code, and the program code that described processor is used for calling in described memorizer is to perform following operation:
Described receptor is utilized to obtain image to be shown；
The image described to be shown described receptor obtained by edge detection operator carries out pretreatment, obtains the ROI interested in described image to be shown；
Calculate the characteristic parameter in described ROI；
Target mapping function is obtained according to described characteristic parameter and linear regression method；
When determining that described characteristic parameter meets default regularization condition according to described characteristic parameter and described target mapping function, according to described target mapping function, described characteristic parameter is carried out self-adaptative adjustment；
And by display screen, the image described to be shown after self-adaptative adjustment is exported and shows.
19. an electronic equipment, it is characterised in that described electronic equipment includes:
The device of the image procossing as described in as arbitrary in claim 10 to 18.
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