KR102215607B1 - Electronic device capable of correction to improve the brightness of dark images and operating method thereof - Google Patents

Abstract

Disclosed are an electronic device capable of correction processing to improve brightness of dark images and an operating method thereof. To this end, the electronic device capable of correction processing to improve brightness of dark images and the operating method thereof according to the present invention extracts the color value of a medium size among color values constituting an RGB value as a brightness value with respect to each of a plurality of pixels constituting the first image when a brightness correction command is received from a user with respect to a first image, and perform brightness correction with respect to each of the plurality of pixels to generate a correction image with respect to the first image, thereby providing support to enable correction processing to improve the brightness of the dark image.

Description

Electronic device capable of correction processing to improve the brightness of dark images and its operation method {ELECTRONIC DEVICE CAPABLE OF CORRECTION TO IMPROVE THE BRIGHTNESS OF DARK IMAGES AND OPERATING METHOD THEREOF}

The present invention relates to an electronic device capable of performing a correction process for improving the brightness of a dark image and an operating method thereof.

In recent years, as computers, smartphones, tablet PCs, etc. are widely spread, various types of electronic document-related programs are being released that enable users to view, create, and edit electronic documents using such electronic devices.

Examples of such electronic document related programs include a word processor that supports basic document creation and editing, data input, arithmetic operations, spreadsheets that assist data management, and presentation programs to assist presenters' presentations.

Relatedly, users often create documents by inserting images captured by digital cameras into these electronic document-related programs. Among digital images, they are taken outdoors in the evening after sunset or in places where there is little light. As a result, it is often found that the image is created dark.

Conventionally, in order to analyze whether an image inserted in an electronic document corresponds to a dark image that needs brightness correction, a histogram according to the brightness of pixels constituting the image is generated to analyze the shape of the histogram, and the color of the image is set to the YUV value. The method of analyzing the luminance value by converting it to or by converting the color of the image to the CIE Lab to analyze the luminance value was mainly used.

However, since these processes go through a complex process of converting the RGB value of the image into other color values in order to analyze the brightness of the image, there is a regret that it takes a long time and cost to perform the operation.

If a user inserts an image on an electronic document related program, if there is a function to quickly correct the brightness to an appropriate brightness by grasping the brightness of the image using only the RGB values of the pixels constituting the image, the user can use the electronic document related program It will be very useful to be able to freely use the image taken through the digital camera on the screen.

Therefore, in the case of a dark image by analyzing the RGB value of the image, a study on a correction processing technique capable of improving the brightness of the image is required.

An electronic device capable of correcting the brightness of a dark image according to the present invention, and an operation method thereof, when a brightness correction command for a first image is received from a user, each of a plurality of pixels constituting the first image is On the other hand, by extracting a color value of a medium size among color values constituting the RGB value as a brightness value, and performing brightness correction on each of the plurality of pixels to generate a corrected image for the first image, It is intended to support correction processing to improve brightness.

According to an embodiment of the present invention, an electronic device capable of performing correction processing for improving the brightness of a dark image generates a duplicate image for the first image when a brightness correction command for a first image is received from a user, A pixel value extracting unit that extracts RGB values for each of a plurality of pixels constituting the first image, and for each of the plurality of pixels, a red color value, a green color value, and a blue color constituting an RGB value A brightness value calculator that calculates a brightness value for each of the plurality of pixels by extracting a color value of a channel having a medium size among color values as a brightness value, and an average value of brightness values for the plurality of pixels An average calculation unit that calculates a value, an error calculation unit that calculates an error value by subtracting the average value from a predetermined brightness reference value, and increases the brightness of each of the plurality of pixels when the error value is a positive number. A correction image generator for generating a correction image for the first image by performing brightness correction for, and when the correction image for the first image is generated, the correction image for the first image and The duplicate image for the first image and the correction image for the first image are displayed on a screen so that any one of the duplicate images for the first image can be selected as a final image for the first image. When the duplicate image for the first image is selected by the image display unit and the user to simultaneously display an image, by deleting the correction image for the first image, the brightness of the duplicate image for the first image When the corrected image for the first image is selected as the final image according to the correction command and the user selects the corrected image for the first image, the duplicated image for the first image is deleted, so that the corrected image for the first image is A final image selection unit that selects a final image according to the brightness correction command Includes.

In addition, the method of operating an electronic device capable of correcting the brightness of a dark image according to an embodiment of the present invention is, when a brightness correction command for a first image is received from a user, a duplicate image for the first image is received. After generating, extracting an RGB value for each of a plurality of pixels constituting the first image, for each of the plurality of pixels, a red color value, a green color value, and a blue color constituting an RGB value Computing a brightness value for each of the plurality of pixels by extracting a color value of a channel having a medium-sized value among the values as a brightness value, calculating an average value of brightness values for the plurality of pixels , Calculating an error value by subtracting the average value from a predetermined brightness reference value, when the error value is a positive number, performing brightness correction to increase the brightness of each of the plurality of pixels, Generating a correction image for the first image, when the correction image for the first image is generated, one of the correction image for the first image and the duplicate image for the first image by the user Simultaneously displaying the duplicate image for the first image and the corrected image for the first image on a screen so that any one image can be selected as a final image for the first image, and to the user When the duplicate image for the first image is selected by, by deleting the correction image for the first image, the duplicate image for the first image is selected as a final image according to the brightness correction command, and the When the correction image for the first image is selected by the user, the duplicate image for the first image is deleted, thereby selecting the corrected image for the first image as a final image according to the brightness correction command. Includes steps.

An electronic device capable of correcting the brightness of a dark image according to the present invention, and an operation method thereof, when a brightness correction command for a first image is received from a user, each of a plurality of pixels constituting the first image is On the other hand, by extracting a color value of a medium size among color values constituting the RGB value as a brightness value, and performing brightness correction on each of the plurality of pixels to generate a corrected image for the first image, It can be supported to enable correction processing to improve brightness.

1 is a diagram illustrating a structure of an electronic device capable of performing correction processing to improve brightness of a dark image according to an embodiment of the present invention.
2 is a flowchart illustrating a method of operating an electronic device capable of performing correction processing to improve brightness of a dark image according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. This description is not intended to limit the present invention to a specific embodiment, it is to be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention. While describing each drawing, similar reference numerals have been used for similar components, and unless otherwise defined, all terms used in the present specification including technical or scientific terms refer to common knowledge in the technical field to which the present invention belongs. It has the same meaning as commonly understood by someone who has it.

In this document, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless otherwise stated. In addition, in various embodiments of the present invention, each component, functional blocks or means may be composed of one or more sub-components, and the electrical, electronic, and mechanical functions performed by each component are electronic. A circuit, an integrated circuit, or an application specific integrated circuit (ASIC) may be implemented with various known devices or mechanical elements, and may be implemented separately or two or more may be integrated into one.

On the other hand, the blocks of the attached block diagram and the steps in the flowchart are computer program instructions that are mounted on a processor or memory of equipment capable of processing data such as a general-purpose computer, a special-purpose computer, a portable notebook computer, and a network computer to perform specified functions It can be interpreted as meaning. Since these computer program instructions can be stored in a memory provided in a computer device or in a memory readable by a computer, the functions described in the blocks in the block diagram or in the steps in the flowchart are produced as a product containing the instruction means to perform this. It could be. In addition, each block or each step may represent a module, segment, or part of code including one or more executable instructions for executing the specified logical function(s). In addition, it should be noted that in some alternative embodiments, functions mentioned in blocks or steps may be executed in a different order. For example, two blocks or steps shown in succession may be performed substantially simultaneously or may be performed in reverse order, and in some cases, some blocks or steps may be omitted.

1 is a diagram illustrating a structure of an electronic device capable of performing a correction process for improving brightness of a dark image according to an embodiment of the present invention.

Referring to FIG. 1, an electronic device 110 capable of correcting the brightness of a dark image according to an embodiment of the present invention includes a pixel value extracting unit 111, a brightness value calculating unit 112, and an average calculating unit. (113), an error calculation unit 114, a correction image generation unit 115, an image display unit 116, and a final image selection unit 117.

When a brightness correction command for the first image is received from the user, the pixel value extracting unit 111 generates a duplicate image for the first image, and then generates a plurality of pixels constituting the first image. Extract the RGB value for.

For example, assuming that'image 1'is composed of 6 pixels, the pixel value extractor 111 generates a duplicate image for'image 1'when a brightness correction command for'image 1'is received from the user. After that, RGB values for each of the six pixels constituting'Image 1'can be extracted as shown in Table 1 below.

For each of the plurality of pixels, the brightness value calculator 112 extracts a color value of a channel having an intermediate size among the red color value, the green color value, and the blue color value constituting the RGB value as a brightness value. , Calculate a brightness value for each of the plurality of pixels.

Here, the RGB value is composed of a red color value, a green color value, and a blue color value having any one value between 0 and 255, and thus may be expressed in different colors.

The average operation unit 113 calculates an average value of brightness values of the plurality of pixels.

The error calculation unit 114 calculates an error value by subtracting the average value from a predetermined brightness reference value.

When the error value is a positive (+) number, the corrected image generator 115 generates a corrected image for the first image by performing brightness correction to increase the brightness of each of the plurality of pixels.

For example, as in the previous example, it is said that'Pixel 1','Pixel 2','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6'exist as 6 pixels constituting'Image 1'. Assuming that, for each of the six pixels, the brightness value calculator 112 determines the color value of a channel having a medium size among the red color value, the green color value, and the blue color value constituting the RGB value. By extracting as a value, brightness values for each of'pixel 1','pixel 2','pixel 3','pixel 4','pixel 5', and'pixel 6'can be calculated.

Specifically, referring to Table 1 above, the brightness value calculator 112 includes a red color value, a green color value, and a blue color value of '32', '64', which constitute an RGB value, for'pixel 1'. Among '12', the medium sized value '32' can be extracted as the brightness value for'Pixel 1', and for'Pixel 2', the red color value, the green color value, and the blue color value constituting the RGB value ' Among 150', '96', and '180', '150', which is the medium sized value, can be extracted as the brightness value for'Pixel 2', and for'Pixel 3', the red color value constituting the RGB value, Green Among the color values and blue color values of '96', '32', and '160', '96', which is a medium-sized value, may be extracted as a brightness value for'pixel 3'.

In addition, for'pixel 4', the brightness value calculation unit 112 may be configured to have a medium size of '128', '192', and '64', which are red color values, green color values, and blue color values constituting the RGB value. 128' can be extracted as the brightness value for'Pixel 4', and for'Pixel 5', the red color value, the green color value, and the blue color value of '32', '100', and '64 constituting the RGB value '64', which is the middle value of', can be extracted as the brightness value for'Pixel 5', and for'Pixel 6', the red color value, the green color value, and the blue color value of '64' that make up the RGB value , '148', which is a medium-sized value among '148' and '192', may be extracted as a brightness value for'pixel 6'.

Thereafter, the average operation unit 113 uses brightness values of '32', '150', and'Pixel 1','Pixel 2','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6'. '103' can be calculated as the average value of '96', '128', '64', and '148', and the error calculation unit 114 assumes that the brightness reference value is predetermined as '128', the brightness By subtracting the average value '103' from the reference value '128', '25' may be calculated as an error value.

When the calculated error value is a positive number such as '25', the correction image generator 115 may be configured to generate the plurality of pixels such as'pixel 1','pixel 2','pixel 3', and'pixel. By performing brightness correction to increase the brightness of each of 4','Pixel 5'and'Pixel 6', a correction image for'Image 1'may be generated.

At this time, according to an embodiment of the present invention, the corrected image generation unit 115 includes a brightness correction table holding unit 118, a brightness checking unit 119, a correction value extracting unit 120, and a brightness correcting unit 121. Can include.

The brightness correction table holding unit 118 stores and maintains a brightness correction table in which a plurality of different predetermined range values consisting of an upper limit value and a lower limit value and a predetermined brightness correction value corresponding to each of the plurality of range values are recorded. do.

For example, the brightness correction table holding unit 118 may store and maintain the brightness correction table as shown in Table 2 below.

Multiple range values Brightness correction value (%) 0 to less than 20 5 20 to less than 40 10 40 to less than 60 15 More than 60 to less than 80 20

When the error value is a positive number, the brightness check unit 119 converts the RGB value into an HSV value for each of the plurality of pixels, and then a Hue (hue) value constituting the HSV value, Check the size of the Value value among the Saturation and Value values.

Here, the HSV value is a color model that expresses hue, saturation, and brightness in computer graphics, and is composed of three components such as Hue value, Saturation value, and Value value.

Relatedly, the Hue value can be expressed within the range of 0° to 360°, where 0° is red, 60° is yellow, 120° is green, 180° is cyan, 240° is blue, and 300° is red. Violet is displayed, and the saturation value can be expressed within the range of 0% to 100%. The sharper the color, the larger the value. Value value can be expressed within the range of 0% to 100%. Since the brighter the color, the larger the value, so if the value is 0%, it means black, and if the value is 100%, it means white. .

The correction value extracting unit 120 extracts a first range value to which the error value belongs from among the plurality of range values from the brightness correction table, and extracts a first brightness correction value corresponding to the first range value.

The brightness correction unit 121 performs brightness correction to increase the brightness of each of the plurality of pixels by performing an operation of summing the first brightness correction value to the Value values of each of the plurality of pixels.

For example, as in the above-described example, if the error value is a positive (+) number as '25', the brightness check unit 119 is the plurality of pixels'pixel 1','pixel 2','pixel 3'. , For each of'Pixel 4','Pixel 5'and'Pixel 6', after converting the RGB value to an HSV value, check the size of the Value value among the Hue value, Saturation value, and Value value constituting the HSV value. I can.

Specifically, the brightness check unit 119 is configured for each of'Pixel 1','Pixel 2','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6', as shown in Table 3 below. Values can be converted to HSV values.

Thereafter, the brightness check unit 119 determines the size of the Value value for each of the plurality of pixels,'Pixel 1','Pixel 2','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6'. In '25', '71', '63', '75', '39' and '75' can be identified.

Thereafter, the correction value extracting unit 120 may extract '20 or more to less than 40' as a first range value to which the error value '25' belongs from among the plurality of range values from the brightness correction table shown in Table 2, and , '10' may be extracted as a first brightness correction value corresponding to '20 or more to less than 40'.

The brightness correction unit 121 includes a value of '25' for each of the plurality of pixels,'pixel 1','pixel 2','pixel 3','pixel 4','pixel 5', and'pixel 6', Brightness for increasing the brightness of each of the plurality of pixels by performing an operation of summing the first brightness correction value '10' to '71', '63', '75', '39' and '75' Calibration can be performed.

At this time, according to an embodiment of the present invention, the brightness correction unit 121 is a vector generation unit 122, a Euclidean distance calculating unit 123, a pixel check unit 124 and a correction in order to perform more precise brightness correction. A processing unit 125 may be included.

The vector generator 122 generates a three-dimensional vector including a red color value, a green color value, and a blue color value constituting an RGB value for each of the plurality of pixels.

The Euclidean distance calculator 123 selects a first pixel whose brightness value for each of the plurality of pixels is the minimum value among the plurality of pixels, and then selects a three-dimensional vector corresponding to the first pixel and the plurality of pixels. The Euclidean distance between the three-dimensional vectors corresponding to each is calculated.

Here, the Euclidean distance means a distance between two vectors and can be calculated according to Equation 1 below.

In Equation 1, D denotes a Euclidean distance, and p _i and q _i denote the i-th components included in the two vectors. As the Euclidean distance between two vectors is smaller, the two vectors can be regarded as similar vectors, and as the Euclidean distance between two vectors is larger, the two vectors can be regarded as dissimilar vectors.

The pixel identification unit 124 includes at least one second having a three-dimensional vector calculated within a predetermined distance in which a Euclidean distance between the plurality of pixels and a three-dimensional vector corresponding to the first pixel Check the pixels.

The correction processing unit 125 includes a Value value for each of the at least one second pixel with respect to the at least one second pixel among the plurality of pixels, and a preset weight (a value greater than 1) for the first brightness correction value. ) By summing a multiplied value, and summing a Value value for each of the remaining pixels and the first brightness correction value for the remaining pixels other than the at least one second pixel among the plurality of pixels, the plurality of Value value adjustment to increase the brightness of each of the pixels is performed.

For example, according to the previous example, the vector generator 122 may generate'[32 64 12]' as a three-dimensional vector including an RGB value as a component for'pixel 1'among the plurality of pixels. ,'[150 96 180]' can be created as a three-dimensional vector containing RGB values as a component for'pixel 2', and a three-dimensional vector containing RGB values as a component for'pixel 3' '[96 32 160]' can be created.

In addition, the vector generator 122 may generate'[128 192 64]' as a three-dimensional vector including an RGB value as a component for'pixel 4'among the plurality of pixels, and'pixel 5' '[32 100 64]' can be generated as a three-dimensional vector containing RGB values as a component for'Pixel 6', and'[64 148 192] is a three-dimensional vector containing RGB values as a component for'pixel 6'. ]'can be created.

The Euclidean distance calculating unit 123 includes'pixel 1'and'pixel 2'among the plurality of pixels,'pixel 1','pixel 2','pixel 3','pixel 4','pixel 5', and'pixel 6'. ','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6'can select'Pixel 1'(brightness value '32'), which is the minimum value for each, and for'Pixel 1' Between a corresponding three-dimensional vector and a three-dimensional vector corresponding to each of the plurality of pixels,'pixel 1','pixel 2','pixel 3','pixel 4','pixel 5'and'pixel 6' The Euclidean distance can be calculated according to Equation 1 above.

Specifically, the Euclidean distance calculator 123 includes'[32 64 12]', which is a three-dimensional vector corresponding to'pixel 1', and'[32), which is a three-dimensional vector corresponding to'pixel 1'among the plurality of pixels. The Euclidean distance between '32 64 12]' can be calculated as '0', and corresponds to'[32 64 12]', which is a three-dimensional vector corresponding to'pixel 1', and'pixel 2'among the plurality of pixels. The Euclidean distance between'[150 96 180]', which is a three-dimensional vector, can be calculated as'about 208', and'[32 64 12]', a three-dimensional vector corresponding to'pixel 1', and the plurality of The Euclidean distance between'[96 32 160]', which is a three-dimensional vector corresponding to'pixel 3'among the pixels, may be calculated as'about 164'.

In addition, the Euclidean distance calculator 123 includes'[32 64 12]' which is a three-dimensional vector corresponding to'pixel 1'and'[128] which is a three-dimensional vector corresponding to'pixel 4'among the plurality of pixels. It is possible to calculate'about 168' with the Euclidean distance between '192 64]', and corresponds to'[32 64 12]', which is a three-dimensional vector corresponding to'pixel 1', and'pixel 5'among the plurality of pixels. 'Approximately 63' can be calculated as the Euclidean distance between'[32 100 64]', which is a three-dimensional vector, and'[32 64 12]', a three-dimensional vector corresponding to'pixel 1', and the plurality of Among the pixels,'about 201' may be calculated as a Euclidean distance between'[64 148 192]', which is a three-dimensional vector corresponding to'pixel 6'.

If, assuming that the preset distance is '100', the pixel identification unit 124 determines that the Euclidean distance from the three-dimensional vector'[32 64 12]' corresponding to'pixel 1'is calculated within '100'. 'Pixel 1'(Euclidean distance '0') and'Pixel 5'(Euclidean distance'about 63') can be identified as at least one second pixel having a dimensional vector.

Then, the correction processing unit 125 selects'pixel 1'and'pixel 6'among the plurality of pixels,'pixel 1','pixel 2','pixel 3','pixel 4','pixel 5', and'pixel 6'. The Value value for 5'and the value obtained by multiplying the first brightness correction value of '10' by a preset weight are summed, and for'Pixel 2','Pixel 3','Pixel 4'and'Pixel 6' Value value adjustment for increasing the brightness of each of the plurality of pixels may be performed by summing a Value value and the first brightness correction value of '10'.

Specifically, if the preset weight is '1.2', the correction processing unit 125 multiplies the first brightness correction value '10' by '1.2' to calculate '12' as a weighted correction value, and then'pixel 1'. For, the weighted correction value '12' is added to the value '25' of'pixel 1', and the weighting correction value '12' is added to '39', the value of'pixel 5'for'pixel 5'. Can be summed up.

Further, for'pixel 2', the correction processing unit 125 adds the first brightness correction value '10' to '71', which is a value of'pixel 2', and for'pixel 3','pixel 3' The first brightness correction value '10' is added to the value value of '63', and for'pixel 4', the first brightness correction value '10' is added to the value value '75' of'pixel 4' , For'Pixel 6', a Value value adjustment for increasing the brightness of each of the plurality of pixels is performed by summing the first brightness correction value '10' to '75', the Value value of'Pixel 6'. I can.

In conclusion, the correction processing unit 125 sets the value of'pixel 1'from '25' to '37', the value of'pixel 2'from '71' to '81', and the value of'pixel 3' Value of '63' to '73', Value of'Pixel 4'from '75' to '85', Value of'Pixel 5'from '39' to '51', Value of'Pixel 6' By adjusting the value from '75' to '85', the brightness of each of'Pixel 1','Pixel 2','Pixel 3','Pixel 4','Pixel 5'and'Pixel 6'can be increased. .

In addition, according to an embodiment of the present invention, when the error value is a negative (-) number, the corrected image generation unit 115 does not perform brightness correction to increase the brightness of each of the plurality of pixels. , The correction image for the first image may not be generated.

For example, assuming that the average value of the brightness values of the plurality of pixels is '103', and the brightness reference value is '100', unlike the previous example, the error calculating unit 114 is the brightness reference value '100'. By subtracting '103', which is the average value,'-3' may be calculated as an error value.

In this way, when'-3', which is a negative (-) number, is calculated by the error calculation unit 114 as the error value, the correction image generation unit 115 performs brightness correction for the brightness values of the plurality of pixels. It is considered a state that does not need to be performed, and brightness correction for increasing the brightness of each of the plurality of pixels may not be performed.

When the correction image for the first image is generated, the image display unit 116 displays any one of the correction image for the first image and the duplicate image for the first image by the user. The duplicate image for the first image and the corrected image for the first image are simultaneously displayed on the screen so that the final image for the first image can be selected.

When the duplicate image for the first image is selected by the user, the final image selection unit 117 deletes the corrected image for the first image, thereby changing the brightness for the duplicate image for the first image. When the corrected image for the first image is selected as the final image according to the correction command and the user selects the corrected image for the first image, the duplicated image for the first image is deleted, so that the corrected image for the first image is The final image is selected according to the brightness correction command.

That is, even after generating the corrected image for the first image according to the user's brightness correction command, the final image selection unit 117 may return the first image to the image before correction according to the user's selection. You can apply to help.

2 is a flowchart illustrating a method of operating an electronic device capable of performing correction processing to improve brightness of a dark image according to an exemplary embodiment of the present invention.

In step S210, when a brightness correction command for the first image is received from the user, a duplicate image for the first image is generated, and then RGB for each of a plurality of pixels constituting the first image is generated. Extract the value.

In step S220, for each of the plurality of pixels, a color value of a channel having an intermediate size among the red color value, the green color value, and the blue color value constituting the RGB value is extracted as a brightness value. The brightness value for each of the pixels of is calculated.

In step S230, an average value of brightness values of the plurality of pixels is calculated.

In step S240, an error value is calculated by subtracting the average value from a predetermined brightness reference value.

In step S250, when the error value is a positive number, brightness correction is performed to increase the brightness of each of the plurality of pixels, thereby generating a correction image for the first image.

In step S260, when the correction image for the first image is generated, one of the correction image for the first image and the duplicate image for the first image by the user The duplicate image for the first image and the correction image for the first image are simultaneously displayed on the screen so that the image can be selected as a final image for the image.

In step S270, if the duplicate image for the first image is selected by the user, the correction image for the first image is deleted, so that the duplicate image for the first image is sent to the brightness correction command. When the corrected image for the first image is selected by the user and the corrected image for the first image is selected, the corrected image for the first image is corrected for the brightness by deleting the duplicate image for the first image. Select the final image according to the command.

In this case, according to an embodiment of the present invention, in step S250, a plurality of different predetermined range values consisting of an upper limit value and a lower limit value and a predetermined brightness correction value corresponding to each of the plurality of range values are recorded. Storing and maintaining a brightness correction table, when the error value is a positive number, a Hue value constituting the HSV value after converting an RGB value to an HSV value for each of the plurality of pixels, Checking the size of the Value value among the saturation value and the Value value, extracting a first range value to which the error value belongs from the plurality of range values from the brightness correction table, and a first brightness corresponding to the first range value Performing brightness correction to increase brightness of each of the plurality of pixels by extracting a correction value and performing an operation of summing the first brightness correction value to Value values for each of the plurality of pixels It may include.

In addition, according to an embodiment of the present invention, in step S250, when the error value is a negative (-) number, brightness correction for increasing the brightness of each of the plurality of pixels is not performed. The correction image for 1 image may not be generated.

In addition, according to an embodiment of the present invention, the performing of the brightness correction includes, for each of the plurality of pixels, a red color value, a green color value, and a blue color value constituting an RGB value. Generating a dimensional vector, selecting a first pixel having a minimum brightness value for each of the plurality of pixels among the plurality of pixels, and then selecting a three-dimensional vector corresponding to the first pixel and the plurality of pixels Computing a Euclidean distance between three-dimensional vectors corresponding to each of the plurality of pixels, a three-dimensional vector in which a Euclidean distance between the plurality of pixels and a three-dimensional vector corresponding to the first pixel is calculated within a preset distance Checking at least one second pixel having a and a Value value for each of the at least one second pixel for the at least one second pixel among the plurality of pixels, and the first brightness correction value. By summing a value multiplied by a set weight, and summing a Value value for each of the remaining pixels and the first brightness correction value for the remaining pixels other than the at least one second pixel among the plurality of pixels, the plurality of pixels It may include the step of performing a value adjustment to increase the brightness of each of the pixels of.

In the above, a method of operating an electronic device capable of performing a correction process for improving brightness of a dark image according to an embodiment of the present invention has been described with reference to FIG. 2. Here, the method of operating an electronic device capable of correcting the brightness of a dark image according to an embodiment of the present invention is an electronic device 110 capable of performing a correction process for improving the brightness of a dark image described with reference to FIG. 1. ) May correspond to the configuration of the operation, a more detailed description thereof will be omitted.

The method of operating an electronic device capable of performing correction processing for improving the brightness of a dark image according to an embodiment of the present invention may be implemented as a computer program stored in a storage medium to be executed through a combination with a computer.

In addition, the method of operating an electronic device capable of correction processing to improve the brightness of a dark image according to an embodiment of the present invention is implemented in the form of a computer program command for execution through a combination with a computer and recorded in a computer-readable medium. Can be. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded in the medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, in the present invention, specific matters such as specific components, etc., and limited embodiments and drawings have been described, but this is provided only to help a more general understanding of the present invention, and the present invention is not limited to the above embodiments. , If a person of ordinary skill in the field to which the present invention belongs, various modifications and variations are possible from these descriptions.

Therefore, the spirit of the present invention is limited to the described embodiments and should not be defined, and all things that are equivalent or equivalent to the claims as well as the claims to be described later fall within the scope of the spirit of the present invention. .

110: Electronic device capable of correction processing to improve the brightness of dark images
111: pixel value extraction unit 112: brightness value calculation unit
113: average calculation unit 114: error calculation unit
115: corrected image generation unit 116: image display unit
117: final image selection unit 118: brightness correction table holding unit
119: brightness check unit 120: correction value extraction unit
121: brightness correction unit 122: vector generation unit
123: Euclidean distance calculating unit 124: Pixel checking unit
125: correction processing unit

Claims (10)

A pixel for extracting an RGB value for each of a plurality of pixels constituting the first image after generating a duplicate image for the first image when a brightness correction command for the first image is received from the user A value extraction unit;
For each of the plurality of pixels, by extracting a color value of a channel having a medium-sized value among the red color value, the green color value, and the blue color value constituting the RGB value as a brightness value, each of the plurality of pixels is A brightness value calculator that calculates a brightness value for the corresponding brightness value;
An average calculation unit that calculates an average value of brightness values of the plurality of pixels;
An error calculator for calculating an error value by subtracting the average value from a predetermined brightness reference value;
A corrected image generator configured to generate a corrected image for the first image by performing brightness correction to increase brightness of each of the plurality of pixels when the error value is a positive number;
When the correction image for the first image is generated, any one of the correction image for the first image and the duplicate image for the first image by the user is a final image for the first image An image display unit that simultaneously displays the duplicate image for the first image and the correction image for the first image so that it can be selected as. And
When the duplicate image for the first image is selected by the user, the duplicate image for the first image is selected as the final image according to the brightness correction command by deleting the correction image for the first image And, when the corrected image for the first image is selected by the user, the duplicate image for the first image is deleted, so that the corrected image for the first image is a final image according to the brightness correction command. The final image selection section to select with
Including,
The corrected image generation unit
A brightness correction table holding unit that stores and maintains a brightness correction table in which a plurality of different predetermined range values consisting of an upper limit value and a lower limit value and a predetermined brightness correction value corresponding to each of the plurality of range values are recorded;
When the error value is a positive number, for each of the plurality of pixels, after converting the RGB value to an HSV value, a Hue (hue) value, a saturation (saturation) value, and a Value constituting the HSV value (Brightness) A brightness check unit that checks the size of the Value value among the values;
A correction value extracting unit for extracting a first range value to which the error value belongs from among the plurality of range values from the brightness correction table, and extracting a first brightness correction value corresponding to the first range value; And
A brightness correction unit that performs brightness correction to increase the brightness of each of the plurality of pixels by performing an operation of summing the first brightness correction value to the Value values of each of the plurality of pixels
Electronic device capable of a correction process for improving the brightness of a dark image comprising a. delete The method of claim 1,
The corrected image generation unit
When the error value is a negative (-) number, brightness correction for increasing the brightness of each of the plurality of pixels is not performed, thereby reducing the brightness of a dark image that does not generate the corrected image for the first image. An electronic device capable of correction processing to improve. The method of claim 1,
The brightness correction unit
For each of the plurality of pixels, a vector generator generating a three-dimensional vector including a red color value, a green color value, and a blue color value constituting an RGB value as components;
After selecting a first pixel whose brightness value for each of the plurality of pixels is the minimum value among the plurality of pixels, a 3D vector corresponding to the first pixel and a 3D vector corresponding to each of the plurality of pixels are selected. A Euclidean distance calculating unit for calculating a Euclidean distance between vectors;
A pixel identification unit that checks at least one second pixel having a three-dimensional vector calculated within a predetermined distance in which a Euclidean distance with a three-dimensional vector corresponding to the first pixel is within a predetermined distance among the plurality of pixels ; And
A value obtained by multiplying a value of each of the at least one second pixel with respect to the at least one second pixel among the plurality of pixels and a predetermined weight (a value greater than 1) by the first brightness correction value Summing, and summing the value of each of the remaining pixels and the first brightness correction value for the remaining pixels other than the at least one second pixel among the plurality of pixels, thereby increasing the brightness of each of the plurality of pixels. Correction processing unit that adjusts the value to increase
Electronic device capable of a correction process for improving the brightness of a dark image comprising a. When a brightness correction command for the first image is received from a user, generating a duplicate image for the first image and then extracting RGB values for each of a plurality of pixels constituting the first image ;
For each of the plurality of pixels, by extracting a color value of a channel having a medium-sized value among the red color value, the green color value, and the blue color value constituting the RGB value as a brightness value, each of the plurality of pixels is Calculating a brightness value for;
Calculating an average value of brightness values for the plurality of pixels;
Calculating an error value by subtracting the average value from a predetermined brightness reference value;
Generating a corrected image for the first image by performing brightness correction to increase brightness of each of the plurality of pixels when the error value is a positive number;
When the correction image for the first image is generated, any one of the correction image for the first image and the duplicate image for the first image by the user is a final image for the first image Simultaneously displaying the duplicate image for the first image and the corrected image for the first image on a screen so that it can be selected as. And
When the duplicate image for the first image is selected by the user, the duplicate image for the first image is selected as the final image according to the brightness correction command by deleting the correction image for the first image And, when the corrected image for the first image is selected by the user, the duplicate image for the first image is deleted, so that the corrected image for the first image is a final image according to the brightness correction command. Steps to choose
Including,
Generating a correction image for the first image
Storing and maintaining a brightness correction table in which a plurality of different predetermined range values consisting of an upper limit value and a lower limit value and a predetermined brightness correction value corresponding to each of the plurality of range values are recorded;
When the error value is a positive number, for each of the plurality of pixels, after converting an RGB value to an HSV value, a Hue (hue) value, a saturation (saturation) value, and a Value constituting the HSV value Checking the size of the Value value among the (brightness) values;
Extracting a first range value to which the error value belongs from among the plurality of range values from the brightness correction table, and extracting a first brightness correction value corresponding to the first range value; And
Performing brightness correction to increase brightness of each of the plurality of pixels by performing an operation of summing the first brightness correction value to Value values of each of the plurality of pixels
A method of operating an electronic device capable of performing correction processing for improving the brightness of a dark image comprising a. delete The method of claim 5,
Generating a correction image for the first image
When the error value is a negative (-) number, brightness correction for increasing the brightness of each of the plurality of pixels is not performed, thereby reducing the brightness of a dark image that does not generate the corrected image for the first image. A method of operating an electronic device capable of correction processing for improvement. The method of claim 5,
Performing the brightness correction
For each of the plurality of pixels, generating a three-dimensional vector including a red color value, a green color value, and a blue color value constituting an RGB value as components;
After selecting a first pixel whose brightness value for each of the plurality of pixels is the minimum value among the plurality of pixels, a 3D vector corresponding to the first pixel and a 3D vector corresponding to each of the plurality of pixels are selected. Calculating a Euclidean distance between vectors;
Checking at least one second pixel, among the plurality of pixels, having a three-dimensional vector calculated within a predetermined distance in which a Euclidean distance from a three-dimensional vector corresponding to the first pixel is within a predetermined distance; And
A value obtained by multiplying a value of each of the at least one second pixel with respect to the at least one second pixel among the plurality of pixels and a predetermined weight (a value greater than 1) by the first brightness correction value Summing, and summing the value of each of the remaining pixels and the first brightness correction value for the remaining pixels other than the at least one second pixel among the plurality of pixels, thereby increasing the brightness of each of the plurality of pixels. Steps to perform value adjustment to increase
A method of operating an electronic device capable of performing correction processing for improving the brightness of a dark image comprising a A computer-readable recording medium recording a computer program for executing the method of claim 5, 7 or 8 through a combination with a computer. A computer program stored in a storage medium for executing the method of claim 5, 7 or 8 through combination with a computer.

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