KR101327078B1 - Camera and method for processing image - Google Patents

Abstract

An image processing method of a camera according to an embodiment includes receiving an image; Dividing the received image into a plurality of areas; Analyzing brightness of the divided histograms to obtain brightness information; Detecting a flare region using brightness information of each of the divided regions and adjacent regions adjacent to the respective regions; And compensating for the image quality of the detected flare region.

Description

Camera and its processing method {Camera and method for processing image}

The embodiment relates to a camera, and more particularly, to a camera including a diffractive optical element (DOE) lens and an image processing method thereof.

Closed Circuit Televisions (CCTVs), which are installed outside general homes, as well as indoors of department stores, banks, exhibition halls and factories, are widely used to prevent theft and to determine the operation status of the machine, process flow or situation.

Surveillance cameras have been used for the purpose of remotely monitoring all the situation in the place installed in a particular place, for this purpose includes a display unit for receiving a signal transmitted from the image transmitter and the image transmitter to provide to the display device. .

On the other hand, in general, digital cameras are similar in that they use the optics and mechanisms of ordinary cameras.However, digital cameras accept images with an image sensor called CCD (Charge Coupled Device) instead of film, and convert the signal into digital data. The difference is that the file is stored in memory as a file.

Such a digital camera can immediately check the captured image on the display screen, and can process various data such as editing and output through a computer, and if necessary, can be immediately printed on the printer without complicated film development and printing process. Utilization is expanding.

1 is a view schematically illustrating a camera according to the prior art, FIG. 2 is a view showing a state of an image according to the prior art, FIG. 3 is a view showing a state of light according to the prior art, and FIG. 4 is a prior art. 2 is a diagram illustrating an image photographed using a camera according to FIG.

Referring to FIG. 1, a camera includes a first lens 1 having negative refractive power to which a diffractive optical element DOE is applied to at least one surface, and a positive amount to which the diffractive optical element DOE is applied to at least one surface. A second lens 2 having refractive power, an aperture 3 having a function of adjusting the amount of light between the first lens 1 and the second lens 2, and the second lens 2 and the image sensor An optical filter (OLPF: Optical Low Pass Filter) 4 which passes a low frequency band between the imaging planes of (5) and blocks a high frequency region above the Nyquist frequency.

However, when the lens to which the diffractive optical element is applied as shown in FIG. 2 is used, in addition to the primary light in which an image is accurately formed on an image forming surface of the image sensor 5, light such as zero or secondary light is formed. Therefore, there is a problem that an image flare shape occurs.

That is, as shown in FIG. 3, the secondary light and the 0th light are generated in a graph-like form around the primary light, and as the intensity of the primary light increases, the intensity of the 0th and secondary light is also increased. It becomes bigger.

In other words, when a lens is manufactured using a diffractive optical element, an image as shown in FIG. 4 is displayed, and flare is formed around the light source in the displayed image, causing deterioration of image quality.

Such a flare is made because light such as the 0th order and the 2nd order are not exactly formed on the image forming surface, and when the brightness is reduced to reduce the flare, the gray level of the dark part is buried, which causes another image quality deterioration.

Accordingly, there is a need for a technology capable of reducing the image flare phenomenon to prevent deterioration of image quality.

The embodiment provides a camera and an image processing method thereof capable of effectively preventing flare caused by zero or second order light in a camera using a diffractive optical element.

Further, an embodiment provides a camera and an image processing method thereof capable of detecting a region in which play occurs by analyzing a captured image and performing image processing on only the detected region.

It is to be understood that the technical objectives to be achieved by the embodiments are not limited to the technical matters mentioned above and that other technical subjects not mentioned are apparent to those skilled in the art to which the embodiments proposed from the following description belong, It can be understood.

An image processing method of a camera according to an embodiment includes receiving an image; Dividing the received image into a plurality of areas; Analyzing brightness of the divided histograms to obtain brightness information; Detecting a flare region using brightness information of each of the divided regions and adjacent regions adjacent to the respective regions; And compensating for the image quality of the detected flare region.

In addition, the brightness information includes the level value of the brightest pixel in each area and the number of pixels having the maximum brightness (255 levels).

The detecting of the flare region may include detecting a region in which the number of pixels having the maximum brightness exceeds a predetermined reference value as the flare region.

In addition, when the flare region is detected, the method may further include determining which part of the entire flare region is located using the brightness information of the adjacent region of the detected region.

The determining may include detecting an edge region located at an edge of the entire flare regions.

The detecting of the edge area may include detecting, as the edge area, an area in which at least one adjacent area is a flare area and at least one adjacent area is not a flare area.

The compensating for the image quality of the detected flare region may include compensating for the image quality of an edge region positioned at an edge of the entire flare region.

The compensating of the image quality may include changing a condition of at least one of a gamma curve, a gain, and an offset applied to the edge region.

In addition, the applied gamma curve, the slope is reduced according to the flare degree of the edge region.

In addition, the adjacent region includes regions located above, below, left, and right of each region.

On the other hand, the camera according to the embodiment is a lens; An image sensor for converting light received through the lens into an electrical video signal; Receives a video signal converted by the image sensor, and divided into a plurality of areas in units of frames, by analyzing the histogram of the divided plurality of areas to detect a flare region where a flare occurs, the image quality of the detected flare region A first image processor to compensate for the loss; A second image processor configured to process and output an image compensated by the first image processor; And a controller configured to detect the flare region, determine a quality compensation condition of the detected flare region, and control the image quality compensation of the flare region.

The first image processor may further include an area divider configured to receive the converted image and to divide the received image into a plurality of areas on a frame basis, and to analyze a histogram of each area divided by the area divider. A histogram analyzer for acquiring brightness information, a flare region detector for detecting a flare region using brightness information of each of the divided regions and adjacent regions adjacent to the respective regions, and image quality compensation of the detected flare region And an image output unit configured to perform image quality compensation based on a condition, and an image output unit configured to output an image whose image quality is compensated through the image quality compensation unit to the second image processor.

In addition, the brightness information includes the level value of the brightest pixel in each area and the number of pixels having the maximum brightness (255 levels).

In addition, the flare region detector detects a flared region in which the pixel number having the maximum brightness exceeds a predetermined reference value.

The flare region detector, when the flare region is detected, determines which part of the entire flare region is located in the flare region using the brightness information of the adjacent region of the detected region, and the determination result. According to the detection of the edge region located at the edge of the entire flare region.

The flare region detector may detect a region where at least one adjacent region among the detected flare regions is a flare region and at least one adjacent region is not a flare region as the edge region.

The image quality compensator compensates for the image quality of an edge region located at the detected edge of the entire flare region.

The image quality compensator compensates for the image quality by changing at least one of a gamma curve, a gain, and an offset applied to the edge region.

In addition, the applied gamma curve, the slope is reduced according to the flare degree of the edge region.

In addition, the adjacent region includes regions located above, below, left, and right of each region.

According to an embodiment, by analyzing an image to detect a region where play occurs, and performing image processing on the detected region, a flare phenomenon generated by zero or second order light in a camera using a diffraction optical element is detected. Can be effectively prevented.

Further, according to the embodiment, by changing the image processing condition of only the portion where the flare occurs, it is possible to improve the image quality of the region where the flare occurs without deteriorating the image quality of the region where the play does not occur.

1 is a view schematically illustrating a camera according to the prior art.
2 is a view showing a state of an image according to the prior art.
3 is a view showing a state of light according to the prior art.
4 is a view showing an image photographed using a camera according to the prior art.
5 is a view illustrating a camera according to an embodiment.
FIG. 6 is a detailed configuration diagram of the first image processor illustrated in FIG. 5.
7 is a diagram illustrating an image divided by an area divider, according to an exemplary embodiment.
8 is a diagram for describing a flare region detection process according to an exemplary embodiment.
9 is a diagram illustrating a change in a gamma curve according to an embodiment.
10 is a diagram illustrating an image output according to an exemplary embodiment.
11 is a flowchart illustrating an image processing method of a camera according to an exemplary embodiment.

The following merely illustrates the principles of the invention. Thus, those skilled in the art will be able to devise various apparatuses which, although not explicitly described or shown herein, embody the principles of the invention and are included in the concept and scope of the invention. Furthermore, all of the conditional terms and embodiments listed herein are, in principle, only intended for the purpose of enabling understanding of the concepts of the present invention, and are not to be construed as limited to such specifically recited embodiments and conditions do.

It is also to be understood that the detailed description, as well as the principles, aspects and embodiments of the invention, as well as specific embodiments thereof, are intended to cover structural and functional equivalents thereof. It is also to be understood that such equivalents include all elements contemplated to perform the same function irrespective of the currently known equivalents as well as the equivalents to be developed in the future, i.e., the structure.

Thus, for example, the block diagrams herein should be understood to represent a conceptual view of example circuitry embodying the principles of the invention. Similarly, all flowcharts, state transition diagrams, pseudo code, and the like are representative of various processes that may be substantially represented on a computer-readable medium and executed by a computer or processor, whether or not the computer or processor is explicitly shown .

The functions of the various elements shown in the figures, including the functional blocks depicted in the processor or similar concept, may be provided by use of dedicated hardware as well as hardware capable of executing software in connection with appropriate software. When provided by a processor, the functions may be provided by a single dedicated processor, a single shared processor, or a plurality of individual processors, some of which may be shared.

Also, the explicit use of terms such as processor, control, or similar concepts should not be interpreted exclusively as hardware capable of running software, and may be used without limitation as a digital signal processor (DSP) (ROM), random access memory (RAM), and non-volatile memory. Other hardware may also be included.

5 is a view illustrating a camera according to an embodiment.

Referring to FIG. 5, the camera 100 includes a lens unit 110, an image sensor 120, a first image processor 130, a second image processor 140, a display unit 150, a storage unit 160, The input unit 170 and the controller 180 are included.

The lens unit 110 may include a filter as an optical system OPS, and optically processes light of a captured image.

The lens unit 110 allows the optical image of the subject to be formed on the image sensor 120.

The lens unit 110 may include a zoom lens (not shown) and a focus lens (not shown) that is movable in the optical axis direction to focus the optical image formed on the image sensor 120.

That is, the lens unit 110 acquires an image of a subject to be photographed by a user.

More specifically, the lens unit 110 includes a first lens group composed of a concave lens composed of diffractive optical elements on at least one side thereof, and a second lens group composed of convex lenses composed of the diffractive optical elements on at least one side thereof. can do.

The first lens group is a concave lens having a negative power to have a wide viewing angle and a sufficient back focal length (BFL), one side of which is an aspherical surface and at least one side of the diffractive optical element Since the dispersion of the plane on which the diffractive optical element is formed has a negative sign, it is possible to easily correct the chromatic aberration on the axis and to bear a part of the power, thereby bringing the shape of the lens to some extent.

In addition, the second lens group of the convex lens shape has positive power, at least one surface is an aspherical surface, and at least one surface is composed of diffractive optical elements to be incident on the first lens group of the concave lens shape. Converged video information.

The image sensor 120 may be configured as a complementary metal-oxide semiconductor (CMOS) or a charge coupled device (CCD).

The image sensor 120 is a form in which a plurality of photo detectors are integrated as each pixel, and converts image information of a subject into electrical data and outputs the converted electrical data.

That is, the image sensor 120 detects an image of the subject passing through the lens unit 110. The sensed image can be sent to a remote user.

The image sensor 120 accumulates the amount of light input through the lens unit 110, and outputs the image captured by the lens unit 110 according to the accumulated light amount in accordance with the vertical synchronization signal.

Image acquisition is performed by the image sensor 120 that converts light reflected from a subject into an electrical signal.

In order to obtain a color image using the image sensor 120, a color filter is required, and a filter (not shown) called a CFA (Color Filter Array) is mostly adopted. CFA passes only light representing one color per pixel, has a regularly arranged structure, and has various forms depending on the arrangement structure.

The first image processor 130 analyzes the image acquired by the image sensor 120 in units of frames and compensates and outputs the image quality of the image according to the analysis result.

More specifically, the first image processor 130 classifies an area where a flare has occurred in an image acquired by the image sensor 120, and accordingly changes an image processing condition of an area where the flare occurs, thereby resolving the generated flare. Remove

To this end, the first image processor 130 divides the frame into a plurality of regions, and analyzes a histogram for each of the divided regions.

Subsequently, the first image processor 130 compares the brightness information of each region with the brightness information of the adjacent region based on the analyzed histogram, and determines the state of each region according to the comparison result.

In this case, to grasp the state is to determine whether each of the areas is a play area or not.

The brightness information includes the level value of the brightest pixel among the pixels included in the corresponding area, and the number of pixels having the maximum brightness (gray level of 255) among the pixels included in the corresponding area.

That is, when the number of pixels having the maximum brightness in a specific region among the divided regions is equal to or greater than a predetermined reference value, the first image processor 130 may determine the specific region as a region where flares have occurred.

In addition, the first image processor 130 may locate the specific region on a part of the flared region by using brightness information of the region adjacent to the specific region (for example, upper, lower, left, and right regions of the specific region). Check if it is.

That is, for example, when photographing an incandescent lamp, a flare is generated around the incandescent lamp. When the diffraction optical element is included in the lens unit 110, the flare is more severe.

Therefore, the present invention eliminates the flare phenomenon caused by the lens unit 110 using the diffractive optical element.

To this end, the frame is divided into a plurality of regions, and accordingly, flare is generated in each region by using brightness information of each of the divided regions and adjacent regions adjacent to the respective regions. Check how much flare is generated.

For example, when the level value of the brightest pixel in the corresponding area is 255 and the number of pixels having the maximum brightness exceeds a preset reference value, the corresponding area may be identified as a portion where flare has occurred. At this time, the brightness information of the adjacent region adjacent to the region identified as the occurrence of the flare is used to determine where the corresponding region is located in the flare region.

If, as a result of checking the brightness information of the adjacent area, the flare occurs in all of the adjacent areas, the corresponding area may be determined to be located in the central portion of the flare area.

Meanwhile, as shown in FIG. 4, the flare is generated around the specific object with respect to the specific object.

In this case, since a part of the specific object in the acquired image is also bright, the part in which the specific object exists may also be determined as a region where flare has occurred.

Accordingly, the flare region described above includes not only the peripheral region of the specific object but also a portion where the specific object is photographed.

That is, the flare region includes a region where an object such as an incandescent lamp is photographed and a peripheral region adjacent to the region, and a region where a substantially flare occurs among the flare regions is a peripheral region of the region where the object is photographed, that is, the flare. Corresponds to the edge of the region.

Accordingly, as described above, the first image processor 130 determines whether the flare is generated using the brightness information of each area, and if the flare occurs, the brightness of the adjacent area is determined by using the brightness information of the adjacent area. Identify the location of the entire area where the flare occurred.

The first image processor 130 outputs the image processing condition for the edge region of the entire region where the flare is different from the image processing conditions of the other region according to the confirmed result.

In this case, the image processing condition includes a gamma curve, a gain, and an offset value.

The second image processor 140 may be referred to as an image signal processor (ISP), and processes the image signal output through the first image processor 130 in units of frames.

The display unit 150 displays an image captured by the control of the controller 180 to be described later, and displays a setting screen necessary for taking a picture or a screen for selecting an operation of a user.

In addition, according to an embodiment, when the preview key is input, the preview screen is displayed, and when the shooting key is input, the pop-up screen is popped up, or a preset animation or image is displayed.

The storage unit 160 stores data necessary for the camera 100 to operate.

In addition, according to an embodiment, the storage unit 160 stores a pop-up screen, an animation, or an image to be displayed through the display unit 150 when a photographing key is input.

The storage unit 160 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory) RAM, ROM (EEPROM, etc.), and the like.

The input unit 170 receives a user input and transmits the input to the controller 180.

When the display unit 150 is implemented as a touch screen, the display unit 150 may operate as the input unit 170 at the same time.

According to an embodiment, the input unit 170 may further include a photographing key for performing photographing and a preview key for displaying a preview screen.

The controller 180 controls each component of the camera.

In an embodiment, the controller 180 outputs the image from which the flare has been removed by the first image processor 130, and accordingly outputs the image from which the flare has been removed through the display unit 150.

FIG. 6 is a detailed configuration diagram of the first image processor illustrated in FIG. 5.

Referring to FIG. 6, the first image processor 130 includes an area divider 131, a histogram analyzer 132, a flare region detector 133, an image quality compensator 134, and an image output unit 135. do.

The area divider 131 receives an image output through the image sensor 120 and outputs the received image in units of frames.

In this case, the area divider 131 divides the frame into a plurality of areas.

The number of divided regions may vary according to embodiments. As the number of divided regions increases, the computational amount increases, but more accurate flare can be eliminated.

7 is a diagram illustrating an image divided by an area divider, according to an exemplary embodiment.

That is, as shown in FIG. 7, the area divider 131 divides the input frame into N * M areas and outputs the divided frames.

The histogram analyzer 132 receives an image from the region divider 131 and analyzes histogram characteristics of each region divided by the region divider 131.

Here, the histogram characteristic includes a frequency number, a peak number, a peak distance, and a peak width. In general, a histogram is a distribution of contrast values for pixels in an image. The histogram represents the range and value of light and dark pixels when they are distributed. The histogram is called a histogram graph. The range of the contrast value in the level image has a value of 0 to 255, and each contrast value, that is, the frequency of the level is represented by the height of the graph. The histogram has a lot of information of the image and is used for various image processing.

Also, in a preferred embodiment of the present invention, the histogram may be analyzed to determine characteristics of the image.

The flare region detector 133 detects the flare region using the characteristics of each region analyzed by the histogram analyzer 132.

8 is a diagram for describing a flare region detection process according to an exemplary embodiment.

Referring to FIG. 8, the flare region detection unit 133 checks whether a flare occurs in the first region 810 among the divided regions.

That is, the flare region detector 133 may have a level value of the brightest pixel among the pixels included in the first region 810 and a number of pixels having the maximum brightness (255 levels) among the pixels included in the first region 810. Check.

At this time, if the number of pixels having the maximum brightness is equal to or greater than a predetermined reference value, the flare area detector 133 determines the first area as a flare area where flare has occurred.

A reference value for determining the flare area may have various values according to embodiments. For example, it is necessary to distinguish between the case where the actual brightness of the image is the maximum brightness (255 levels) and the case where the flare occurs as described above and the maximum brightness (255 levels). Such division may be determined based on the continuity of pixels having the maximum brightness.

For example, the reference value may be set to 100. Accordingly, when the maximum brightness (255 levels) has continuity of 100 pixels or more, it is determined that image quality is degraded due to flare, and when continuity is less than 100 pixels. It is assumed that the brightness of the actual image is the maximum brightness (255 levels). This is implemented on the assumption that the actual brightness is 255 levels, and this maximum brightness (255 levels) rarely has continuity of 100 pixels or more.

If the first region 810 is a flare region, the flare region detector 133 analyzes an adjacent region of the first region 810 and checks the brightness state of the adjacent region.

The adjacent region may include a second region 820 adjacent to the first region 810, a third region 830 adjacent to a left side of the first region 810, and the first region 810. It may include a fourth region 840 adjacent to the bottom and a fifth region 850 adjacent to the right side of the first region 810.

Accordingly, the flare region detector 133 uses the level values of the brightest pixels and the number of pixels having the maximum brightness (255 levels) in the second to fifth regions 820, 830, 840, and 850. Check the status of the adjacent area.

In this case, if the recognition region is also regarded as a flare region, the flare region detector 133 may determine that the first region 810 is a flare region, but is a flare region located at the center of the entire flare region.

That is, if a flare has occurred in the first area 810 and the flare is a full white screen (such as the center of the sun), the first area 810 is determined to be located at the center of the entire flare area. do.

However, the flare area detector 133 detects the edge area 860 by using the case where the adjacent area is not a flare area but is a flare area like the edge area 860 of the entire flare area. .

For example, a pixel with the maximum brightness (255 levels) in a particular area is 60% of the total pixels, and the flares of adjacent adjacent areas are intensified (the number of pixels with the maximum brightness (255 levels) is 90% of the entire pixels). % Or more), and if no flare occurs in another adjacent region, the specific region may be determined as an edge region of the entire flare region.

When the edge region 860 is detected by the flare region detector 133, the image quality compensator 134 performs image quality compensation by changing at least one of a gamma curve, a gain, and an offset of the detected region. .

9 is a diagram illustrating a change in a gamma curve according to an embodiment.

Referring to FIG. 9, the graph drawn above is a gamma curve graph that is generally applied.

In this case, when the edge region of the flare region is detected, the image quality compensator 134 changes the generally applied gamma curve to determine a gamma curve to be applied to the edge region.

That is, in order to reduce the brightness of the edge region, the slope of the gamma curve generally applied as shown in the graph drawn below in FIG. 9 is reduced.

In this case, the degree of reduction of the inclination may be determined according to the degree of flare of the edge region.

For example, the inclination of the gamma curve applied to the edge region when the number of pixels having the maximum brightness (255 levels) is 50% of the total pixels and the edge region at 80% is different. In this case, the slope of the gamma curve applied to the edge region of 60% is greater than the slope of the gamma curve applied to the edge region of 80%. That is, as the degree of flare increases, the slope of the applied gamma curve decreases.

The image output unit 135 outputs the image whose image quality is compensated through the image quality compensator 134 in units of frames.

10 is a diagram illustrating an image output according to an exemplary embodiment.

Referring to FIG. 10, it may be confirmed that the flare generated in the vicinity of the incandescent lamp compared to the image according to the prior art is not seen in the image according to the embodiment.

11 is a flowchart illustrating an image processing method of a camera according to an exemplary embodiment.

Referring to FIG. 11, first, the area divider 131 receives an image output through the image sensor 120 (step 101).

Thereafter, the area dividing unit 131 divides the received image into frame units, and divides the frame into a plurality of regions according to operation 102.

In operation 103, a verification process is performed on the first region to determine whether the first region is a flared region among the plurality of divided regions.

The histogram analyzer 132 analyzes the histogram of the first area and the adjacent area adjacent to the first area (step 104).

Thereafter, the flare region detector 133 uses the histogram of the first region and the adjacent region analyzed by the histogram analyzer 132 to determine whether the first region is a flare region and if the first region is a flare region. In step 105, it is determined which part of the entire flare region is located in the first region.

The flare region detector 133 determines whether the above verification process is performed on all regions divided by the region divider 131 (step 106).

As a result of the determination (step 106), if there is an area for which verification has not been performed, the next area is selected (step 105), and accordingly, the process (step 104 to 105) is performed on the selected next area.

Thereafter, if the flare region is determined, the image quality compensation condition of the region located in the edge region of the entire flare region is determined, and image quality compensation of the region is performed using the determined image quality compensation condition (step 108).

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention.

100: camera
110: lens unit
120: Image sensor
130: first image processing unit
131: region divider
132: histogram analysis unit
133: flare area detector
134: image quality compensation unit
135: video output unit
140: second image processing unit
150:
160:
170: input unit
180:

Claims (20)

Receiving an image;
Dividing the received image into a plurality of areas;
Obtaining brightness information for each of the divided regions;
Detecting an entire flare region and an edge region of the entire flare regions by using brightness information of each of the divided regions and adjacent regions adjacent to the respective regions; And
Compensating for the image quality of the detected edge region. The method of claim 1,
The brightness information,
The image processing method of the camera including the level value of the brightest pixel in each area and the number of pixels having the maximum brightness (255 levels). 3. The method of claim 2,
Detecting the flare region,
And detecting an area in which the number of pixels having the maximum brightness exceeds a predetermined reference value as a flare area. The method of claim 3, wherein
Detecting the edge area,
And when the flare region is detected, determining which part of the entire flare region is located in the flare region by using brightness information of an adjacent region of the detected region. delete 5. The method of claim 4,
The edge area is,
At least one adjacent region is a flare region, and at least one adjacent region is a region other than the flare region. delete The method according to claim 6,
Compensating the image quality,
And changing a condition of at least one of a gamma curve, a gain, and an offset applied to the edge region. The method of claim 8,
The applied gamma curve is,
And an inclination decreases according to the flare of the edge region. The method of claim 1,
The adjacent area is,
An image processing method comprising regions located above, below, left, and right of each region. lens;
An image sensor for converting light received through the lens into an electrical video signal;
The video signal converted by the image sensor is received, divided into a plurality of areas in units of frames, and the entire flare area where flares are generated and an edge area among the flare areas are generated using brightness information of each divided area. A first image processor configured to detect and compensate for image quality of the detected edge region;
A second image processor configured to process and output an image compensated by the first image processor; And
And a controller configured to detect the entire flare area and the edge area, and to determine an image quality compensation condition of the detected edge area to perform image quality compensation. 12. The method of claim 11,
Wherein the first image processing unit comprises:
An area divider for receiving the converted image and dividing the received image into a plurality of areas on a frame basis;
A histogram analyzer for analyzing brightness histograms of the respective regions divided by the region dividing unit, and obtaining brightness information;
A flare region detector for detecting a flare region by using the divided regions and brightness information of adjacent regions adjacent to the respective regions;
An image quality compensator for performing image quality compensation based on the image quality compensation condition of the detected flare region;
And an image output unit configured to output an image whose image quality is compensated through the image quality compensation unit to the second image processing unit. 13. The method of claim 12,
The brightness information,
Camera that contains the level value of the brightest pixel in each area and the number of pixels with the maximum brightness (255 levels). The method of claim 13,
The flare area detector,
And detecting a region where the maximum number of pixels having the maximum brightness exceeds a predetermined reference value as a flare region. The method of claim 14,
The flare area detector,
When the flare region is detected, it is determined which part of the entire flare region is located by using the brightness information of the adjacent region of the detected region,
And detecting an edge region located at an edge of the entire flare regions according to the determination result. 16. The method of claim 15,
The flare area detector,
And at least one adjacent area among the detected flare areas is a flare area, and at least one adjacent area is a flare area. 17. The method of claim 16,
The image quality compensation unit,
A camera for compensating for image quality of an edge region located at the detected edge of the entire flare region. 18. The method of claim 17,
The image quality compensation unit,
And a camera compensating for image quality by changing at least one of a gamma curve, a gain, and an offset applied to the edge region. 19. The method of claim 18,
The applied gamma curve is,
And the tilt decreases according to the flare degree of the edge region. 13. The method of claim 12,
The adjacent area is,
Camera including the areas located on the top, bottom, left and right of each area.

Images