CN104052933A - Method for determining dynamic range mode, and image obtaining apparatus - Google Patents
Method for determining dynamic range mode, and image obtaining apparatus Download PDFInfo
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Abstract
The invention provides a method for determining a dynamic range mode, and an image obtaining apparatus. The method comprises the following steps: first of all, obtaining a source image, and analyzing the brightness degree of the source image so as to determine multiple overexposure areas or underexposure areas of the source image; then according to a weighting map, calculating overexposure estimation values of the overexposure areas and underexposure estimation values of the underexposure areas; and comparing the overexposure estimation values and the underexposure estimation values to one or more critical values so as to determine the dynamic range mode suitable for the image obtaining apparatus.
Description
Technical field
The invention relates to a kind of decision method and image acquiring device thereof of dynamic range pattern.
Background technology
So-called " dynamic range ", refers to maximum brightness value in picture and scope or the ratio of minimum luminance value.For photography, dynamic range can be divided into again " dynamic range of camera " and " dynamic range of scene ".Wherein, the dynamic range of camera refer to photo-sensitive cell can accept brightness change scope.The dynamic range of scene refers to the luminance difference scope in photographed scene, namely the difference of brightest area and dark areas in picture.
In the time that the dynamic range of scene is greater than the dynamic range of camera, represent in photographed scene and have extreme highlights and dark portion, exceed the color range that photo-sensitive cell can record, therefore in photo, there will be complete black or complete white block.For instance, indoor take simultaneously portrait and outside window scenery, take tree and tree shade etc. under sunlight, because the light and shade difference of this type of photographed scene is very big, obviously reduce image quality.
In order to overcome above-mentioned defect, part camera provides high dynamic range mode, and namely by image processing techniques, the dynamic range that makes to process rear image is greater than the dynamic range that single image that general camera obtains provides.But whether camera must be set based on shooting experience by camera user voluntarily by high dynamic range imaging pattern.That is to say, whether camera user must differentiate current photographed scene by human eye and be applicable to using high dynamic range imaging pattern to take, or uses general modfel to take.But, often for want of experience or misjudgment of most of users and cannot correctly take better images by high dynamic range mode.
Summary of the invention
The invention provides a kind of decision method and image acquiring device thereof of dynamic range pattern, can automatically detect the variation of current photographed scene, and then adaptability is selected and switches dynamic range (Dynamic Range, DR) pattern.
The decision method of a kind of dynamic range pattern of the present invention, is applicable to carry out the image acquiring device of Video processing (video processing).This decision method comprises the following steps.First obtain source images.And analyze the bright dark degree of source images, to determine overexposure (overexposure) region and under-exposed (underexposure) region of source images.Calculate an overexposure estimated value in overexposure region and a under-exposed estimated value of region of underexposure according to weight map (weighting map) again.And overexposure estimated value and under-exposed estimated value and one or more critical value are compared, and judgement is according to this suitable for the dynamic range pattern that image acquiring device uses.
In one embodiment of this invention, the dynamic range pattern that above-mentioned image acquiring device can use comprises normal dynamic scope (Normal DR, NDR) pattern, wide dynamic range (Wide DR, WDR) pattern, high dynamic range (High DR, HDR) pattern and extreme dynamic range (Ultra High DR, UHDR) pattern.
In one embodiment of this invention, above-mentioned analysis carrys out the bright dark degree of source images, comprises taking the step that determines overexposure region and region of underexposure: cut apart to come source images as multiple blocks; Calculate respectively the average brightness of each block; And judge according to each average brightness respectively whether each block belongs to overexposure region or region of underexposure.
In one embodiment of this invention, before the above-mentioned step calculating overexposure estimated value and under-exposed estimated value, also comprise multiple weight setting values of setting weight map.Wherein, each weight setting value corresponds to respectively each block of source images.
In one embodiment of this invention, the above-mentioned step of calculating the overexposure estimated value in overexposure region and the under-exposed estimated value of region of underexposure according to weight map comprises: corresponding overexposure region weight setting value is carried out to computing to obtain overexposure estimated value; And corresponding region of underexposure weight setting value is carried out to computing to obtain under-exposed estimated value.
In one embodiment of this invention, above-mentioned decision method also comprises to carrying out source images executor face detection (face detection), to judge whether carry out source images exists one or more human face region.If so, improve affiliated weight setting value corresponding to block of human face region.
In one embodiment of this invention, above-mentioned overexposure estimated value and under-exposed estimated value and at least one critical value are compared, the step that judgement is according to this suitable for the dynamic range pattern of image acquiring device use comprises: be added overexposure estimated value and under-exposed estimated value, to obtain estimated value summation; And estimated value summation and first, second and third critical value are compared, judgement is according to this suitable for the dynamic range pattern that image acquiring device uses.
In one embodiment of this invention, above-mentioned decision method also comprises that controlling image acquiring device automatically switches to the dynamic range pattern that is applicable to use.
A kind of image acquiring device of the present invention, is suitable for carrying out Video processing, and it comprises imageing sensor, memory and processor.Wherein, imageing sensor is in order to obtain source images.Memory is in order to store source images and weight map.Processor is in order to analyze the bright dark degree of source images, to determine overexposure region and the region of underexposure of source images, and calculate the overexposure estimated value in overexposure region and the under-exposed estimated value of region of underexposure according to weight map, overexposure estimated value and under-exposed estimated value and one or more critical value are compared, judgement is according to this suitable for the dynamic range pattern that image acquiring device uses again.
Based on above-mentioned, the decision method of dynamic range pattern provided by the present invention and image acquiring device thereof, can judge by detecting a light-dark ratio example of carrying out source images the variation of current photographed scene, and then adaptability is selected and automatically switches to be suitable for the dynamic range pattern that image acquiring device uses.
For above-mentioned feature and advantage of the present invention can be become apparent, special embodiment below, and coordinate accompanying drawing to be described in detail below.
Brief description of the drawings
Fig. 1 is the calcspar according to a kind of image acquiring device shown in one embodiment of the invention;
Fig. 2 is the decision method flow chart according to the dynamic range pattern shown in one embodiment of the invention;
Fig. 3 is the conversion schematic diagram according to the dynamic range pattern shown in one embodiment of the invention;
Fig. 4 is the decision method flow chart according to the dynamic range pattern shown in another embodiment of the present invention;
Fig. 5 A is according to the overexposure region shown in another embodiment of the present invention and the schematic diagram of region of underexposure;
Fig. 5 B is according to the weight map schematic diagram shown in another embodiment of the present invention.
Description of reference numerals:
100: image acquiring device;
110: imageing sensor;
120: memory;
130: processor;
B1～b25: block;
W1～W25: weight setting value;
N: exposure normal region;
O: overexposure region;
U: region of underexposure;
S210～S240: each step of the decision method of the dynamic range pattern of an embodiment;
S401～S425: each step of the decision method of the dynamic range pattern of another embodiment.
Embodiment
Image acquiring device provided by the present invention is except being suitable for obtaining individual still image, for example, while being also adapted at carrying out Video processing (making video recording), automatically detect the variation of current photographed scene, and then adaptability is selected and switches dynamic range (Dynamic Range, DR) pattern.Fig. 1 is the calcspar according to a kind of image acquiring device shown in one embodiment of the invention.The image acquiring device 100 of the present embodiment is for example digital camera, digital simple eye (Digital Single Lens Reflex, DSLR) camera, digital code camera (Digital Video Camcorder, DVC) etc., or other have image/video and obtain the smart mobile phone of function or panel computer etc., be not limited to above-mentioned.
Please refer to Fig. 1, image acquiring device 100 at least comprises imageing sensor 110, memory 120 and processor 130.Imageing sensor 110 comprises camera lens and CCD/CMOS photo-sensitive cell etc., and can be in order to obtain image.Memory 120 can be the fixed of arbitrary form or packaged type random access memory (Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), flash memory (Flash memory) or other likes, and can be in order to store source images and data.Processor 130 basis source images carry out automatic scene detection (scene detection), are applicable at present the dynamic range pattern using according to ambient brightness judgement.
Wherein, 100 dynamic range patterns that can use of image acquiring device of the present embodiment comprise normal dynamic scope (Normal DR, NDR) pattern, wide dynamic range (Wide DR, WDR) pattern, high dynamic range (High DR, HDR) pattern and extreme dynamic range (Ultra High DR, UHDR) pattern.Because dynamic range is the ratio of maximum brightness value and minimum luminance value, the therefore unit of there is no.In the present embodiment, the NDR pattern that image acquiring device 100 uses approximately can record the dynamic range of 8～9 grades; WDR pattern approximately can record the dynamic range of 10～11 grades; HDR pattern approximately can record the dynamic range of 12～13 grades; UHDR pattern approximately can record and be greater than 13 grades of above dynamic ranges.Above are only a kind of exemplary embodiment, the sorting technique of dynamic range pattern is not limited to above-mentioned.
Fig. 2 is the decision method flow chart according to the dynamic range pattern shown in one embodiment of the invention.The method of the present embodiment is applicable to the image acquiring device 100 of Fig. 1, below coordinates the detailed step of the each part description the present embodiment decision method in image acquiring device 100:
Step S210, imageing sensor 110 obtains source images, and source images is stored in memory 120 in the future.Then, step S220, processor 130 analyzes the bright dark degree of source images, to determine overexposure (overexposure) region and under-exposed (underexposure) region of source images.
Step S230, processor 130 calculates an overexposure estimated value in overexposure region and a under-exposed estimated value of region of underexposure according to weight map (weighting map) again.Due to for the user, conventionally can be divided into prospect and background for captured image, the shank that prospect is often taken notice of for user, therefore, weight map is for example to give different weight setting values according to the foreground area of carrying out source images from background area.Again weight setting value corresponding overexposure region is carried out to computing, to obtain overexposure estimated value.Similarly, weight setting value corresponding region of underexposure is carried out to computing, can obtain under-exposed estimated value.
Step S240, processor 130 compares overexposure estimated value and under-exposed estimated value and one or more critical value, and judgement is according to this suitable for the dynamic range pattern that image acquiring device 100 uses at present.Wherein, critical value can know that the knowledgeable does setting in advance according to practical situations, does not limit its scope at this conventionally by this area tool.In simple terms, when processor 130 judge overexposure estimated value and under-exposed estimated value excessive, represent that the bright dark disparity range in current photographed scene is excessive, may exceed the color range that the photo-sensitive cell of imageing sensor 110 can record.Therefore the dynamic range pattern must converted image acquisition device 100 using.
Fig. 3 is the conversion schematic diagram according to the dynamic range pattern shown in one embodiment of the invention.Please refer to Fig. 3, when scene dynamic range lower (that is, the bright dark disparity range of photographed scene is less), use NDR pattern.When scene dynamic range uprises (that is, the bright dark disparity range of photographed scene increases gradually) gradually, can adjust dynamic range pattern is WDR pattern, HDR pattern and UHDR pattern gradually.
The dynamic range that can record due to the photo-sensitive cell of imageing sensor 110 is fixing.Therefore,, if will increase the dynamic range of output image, certainly will adopt image processing method to reach.For instance, the WDR pattern of the present embodiment for example can be obtained single image, processes module adjust gamma curve by the image in processor 130, namely processes rear image by exporting after dark image portion being lightened and overexposure region being dimmed again.
But what the method for utilizing single image to carry out reprocessing can be adjusted is limited in scope, therefore, if scene dynamics scope continues to increase, exceed the treatable scope of WDR pattern, change HDR pattern and the UHDR pattern of using into.
The HDR pattern that the present embodiment uses and UHDR pattern, for example adopt multiple-exposure technology, namely control chart image-position sensor 110 is repeatedly taken Same Scene under difference exposure or different aperture, and multiple images that obtain is merged into image after the single processing that takes into account highlights and dark portion details.In more detail, the video processing speed of the HDR pattern of the present embodiment is 60 images of shooting per second (or being called picture) and 30 images of output per second.Wherein, odd number is opened image for example for short exposure is taken, and even number is opened image for example for long exposure is taken.That is to say, with the shooting that interlock of the mode of short exposure, long exposure, and every two images synthesize an output image.The video processing speed of the UHDR pattern of the present embodiment is 30 images of shooting per second and 30/15 image of output per second.Equally with the shooting that interlock of the mode of short exposure, long exposure, and every two images synthesize an output image.The place that UHDR pattern is different from HDR pattern is that the time for exposure of UHDR pattern can rise to 2 times of HDR pattern, therefore can have how dark portion detail data.
In order to make content of the present invention more clear, below the example that really can implement according to this as the present invention for an embodiment again.
Fig. 4 is the decision method flow chart according to the dynamic range pattern shown in another embodiment of the present invention.Wherein, Fig. 4 is the detailed execution mode of one of the decision method of the dynamic range pattern of Fig. 2.
Please refer to Fig. 4, first, obtain source images, wherein carry out source images and be of a size of P*Q, P, Q are positive integer (step S401).Then, source images is divided into multiple blocks (step S403) in the future.The size of each block is for example N*N, the multiple that wherein N is 2, N < P and N < Q.
Next, calculate respectively the average brightness (step S405) of each block.Namely, for each block, calculate the average brightness of all pixels in this block.Then, just can judge respectively whether each block belongs to overexposure region or region of underexposure (step S407) according to each average brightness.For instance, be to present with 256 color ranges (8 bits) if carry out source images, if being 251～256, the average brightness of block is recorded as overexposure region O; If being 1～10, the average brightness of block is recorded as region of underexposure U.Fig. 5 A is according to the overexposure region shown in another embodiment of the present invention and the schematic diagram of region of underexposure.Please refer to Fig. 5 A, suppose to come source images and there are 25 blocks, be denoted as respectively b1～b25.Wherein, block b1, b2, b19, b20, b24, b25 are denoted as " U ", represent that it is region of underexposure; Block b3, b4, b7～b9, b12～b13, b16～b17 are denoted as " O ", represent that it is overexposure region; All the other blocks that are denoted as " N " are exposure normal region.
Step S409, multiple weight setting values of setting weight map.Wherein, each weight setting value corresponds to respectively each block of source images.For instance, Fig. 5 B is according to the weight map schematic diagram shown in another embodiment of the present invention.Please refer to Fig. 5 B, weight map has 25 weight setting values altogether, is denoted as respectively W1～W25.Wherein, weight setting value W1 corresponds to the block b1 shown in Fig. 5 A, and the numerical example of weight setting value W1 is as being set as 1; Weight setting value W2 corresponds to the block b2 shown in Fig. 5 A, and the numerical example of weight setting value W2 is as being set as 1; The rest may be inferred.Weight map from shown in Fig. 5 B: the weight setting value that more approaches picture centre is higher; Otherwise, more approach image weight setting value around lower.This kind of weight setting value setting method is because picture centre is mostly the body region that prospect or user take notice of, therefore improves its weight setting value proportion.
In another embodiment, the establishing method of weight setting value also comprises and can detect (face detection) to carrying out source images executor face, to judge whether carry out source images exists human face region.If so, can improve in addition affiliated weight setting value corresponding to block of human face region.
It should be noted that, weight map is not limited to embody with the form shown in Fig. 5 B, it also can save as form or other forms and for example be stored in advance, in the memory (being the memory 120 of Fig. 1) of image acquiring device, and corresponding different photographed scene can have the weight map of multiple different shape, therefore can conventionally know that the knowledgeable chooses applicable weight map according to actual photographed scene by this area tool.
After weight map has been set, just can subsequent steps S411, calculate the overexposure estimated value in overexposure region and the under-exposed estimated value of region of underexposure according to weight map.Corresponding overexposure region weight setting value is carried out to computing to obtain overexposure estimated value; And corresponding region of underexposure weight setting value is carried out to computing to obtain under-exposed estimated value.In one embodiment, corresponding overexposure region weight setting value can be added, to obtain overexposure estimated value; And corresponding region of underexposure weight setting value is added to obtain under-exposed estimated value.Explain as an example of Fig. 5 A and Fig. 5 B example, overexposure estimated value is 17, and under-exposed estimated value is 7.Be added overexposure estimated value and under-exposed estimated value and just can obtain an estimated value summation.
At step S413, judge that this estimated value summation is whether between the first critical value TH1 and the second critical value TH2.If so, the operator scheme that is suitable for image acquiring device use is WDR pattern (step S415).If not, subsequent steps S417.
At step S417, judge that estimated value summation is whether between the second critical value TH2 and the 3rd critical value TH3.If so, the operator scheme that is suitable for image acquiring device use is HDR pattern (step S419).If not, subsequent steps S421.
Step S421, judges whether estimated value summation is greater than the 3rd critical value TH3.If so, the operator scheme that is suitable for image acquiring device use is UHDR pattern (step S423).If not, subsequent steps S425, the operator scheme that is suitable for image acquiring device use is NDR pattern.With the numerical value difference of weight setting value, therefore variation to some extent can know that the knowledgeable sets according to practical situations conventionally by this area tool in the setting meeting of above-mentioned first, second and the 3rd critical value TH1, TH2 and TH3, is not limited at this.
Should be noted that, in the time that image acquiring device carries out in real time (real-time) Video processing, be still applicable to detecting judgement with the method flow shown in Fig. 2 or Fig. 4.Because the present invention only utilizes one to carry out source images and detect, just can judge and be applicable to the dynamic range pattern that uses to there is the low and fast operation of complexity, therefore meet the time requirement of real-time.In addition, though the present invention can detect and judge dynamic range pattern for each picture (frame) in video, but in one embodiment, image acquiring device for example can be set and all be judged as after identical dynamic range pattern when continuous N (M is a positive integer) picture, just switches.Thus, can avoid the switching of dynamic range pattern too frequently to affect the treatment effeciency of image acquiring device.
In sum, image acquiring device provided by the present invention is in the time carrying out Video processing, can judge that by detecting a light-dark ratio example of carrying out source images the dynamic range of current photographed scene changes, and then adaptability is selected and automatically switches to be suitable for the dynamic range pattern that image acquiring device uses.Accordingly, can save trouble and the puzzlement that user differentiates photographed scene variation by human eye and manually adjusts dynamic range pattern.In addition, the decision method of dynamic range pattern provided by the present invention has advantages of the low and fast operation of complexity, therefore meets the requirement of real-time of Video processing.
Although the present invention has enumerated embodiment as above; but it is not for limiting the present invention; under any, in technical field, have and conventionally know the knowledgeable; without departing from the spirit and scope of the present invention; when doing a little change and retouching, therefore protection scope of the present invention is when being as the criterion of defining depending on following claim book.
Finally it should be noted that: above each embodiment, only in order to technical scheme of the present invention to be described, is not intended to limit; Although the present invention is had been described in detail with reference to aforementioned each embodiment, those of ordinary skill in the art is to be understood that: its technical scheme that still can record aforementioned each embodiment is modified, or some or all of technical characterictic is wherein equal to replacement; And these amendments or replacement do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a decision method for dynamic range pattern, is applicable to carry out an image acquiring device of a Video processing, it is characterized in that, this decision method comprises:
Obtain one and carry out source images;
Analyze the bright dark degree that this carrys out source images, to determine that this comes multiple overexposures region and the region of underexposure of source images;
Calculate an overexposure estimated value in those overexposure regions and a under-exposed estimated value of those region of underexposure according to a weight map; And
This overexposure estimated value and this under-exposure estimated value and at least one critical value are compared, and judgement is according to this suitable for the dynamic range pattern that this image acquiring device uses.
2. decision method according to claim 1, is characterized in that, this dynamic range pattern that this image acquiring device can use comprises normal dynamic range mode, wide dynamic range mode, high dynamic range mode and extreme dynamic range pattern.
3. decision method according to claim 1, is characterized in that, analyzes this and come the bright dark degree of source images, comprises with the step that determines those overexposure regions and region of underexposure:
Cutting apart this, to carry out source images be multiple blocks;
Calculate respectively a respectively average brightness of this block; And
Foundation respectively this average brightness judges respectively respectively whether this block belongs to this overexposure region or this region of underexposure.
4. decision method according to claim 3, is characterized in that, before calculating the step of this overexposure estimated value and this under-exposure estimated value, also comprises:
Set multiple weight setting values of this weight map, wherein respectively this weight setting value corresponds to respectively this and comes respectively this block of source images.
5. decision method according to claim 4, is characterized in that, the step of calculating this overexposure estimated value in those overexposure regions and this under-exposure estimated value of those region of underexposure according to this weight map comprises:
Corresponding those overexposure regions those weight setting values are carried out to computing to obtain this overexposure estimated value, and corresponding those region of underexposure those weight setting values are carried out to computing to obtain this under-exposure estimated value.
6. decision method according to claim 4, is characterized in that, also comprises:
To this come source images carry out one face detect, to judge that this carrys out source images and whether has at least one human face region; And
If so, improve affiliated this weight setting value corresponding to block of this human face region.
7. decision method according to claim 1, is characterized in that, this overexposure estimated value and this under-exposure estimated value and this at least one critical value are compared, and the step that judgement is according to this suitable for this dynamic range pattern that this image acquiring device uses comprises:
Be added this overexposure estimated value and this under-exposure estimated value, to obtain an estimated value summation; And
This estimated value summation and one first, second and third critical value are compared, and judgement is according to this suitable for this dynamic range pattern that this image acquiring device uses.
8. decision method according to claim 1, is characterized in that, after judgement is suitable for the step of this dynamic range pattern of this image acquiring device use, also comprises:
Control this image acquiring device and automatically switch to this dynamic range pattern that is applicable to use.
9. an image acquiring device, is suitable for carrying out a Video processing, it is characterized in that, comprising:
One imageing sensor, obtains one and carrys out source images;
One memory, stores this and comes source images and a weight map;
One processor, analyze the bright dark degree that this carrys out source images, to determine that this comes multiple overexposures region and the region of underexposure of source images, and calculate an overexposure estimated value in those overexposure regions and a under-exposed estimated value of those region of underexposure according to this weight map, this overexposure estimated value and this under-exposure estimated value and at least one critical value are compared, and judgement is according to this suitable for the dynamic range pattern that this image acquiring device uses.
10. image acquiring device according to claim 9, is characterized in that,
The operator scheme of this image acquiring device comprises normal dynamic range mode, wide dynamic range mode, high dynamic range mode and extreme dynamic range pattern.
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