JP2005039541A - Picture grading device, program and picture display controller - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve a picture grading device automatically grading a photographed picture: and to aid an user in determining the necessity of a picture correction. <P>SOLUTION: Picture analysis is applied to the photographed picture to detect a portion generating a specific phenomenon such as blur, inadequate exposure, and the like on the picture. Now, a subtracted point complying with the detected specific phenomenon is subtracted from the specific standard point to obtain a score. The score serving as the score of the picture is displayed. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an image scoring device for scoring a photographed image.

  2. Description of the Related Art Conventionally, an image display control device called a digital camera that electronically captures a subject is known. A digital camera stores a digital image captured by an imaging element such as a CCD (Charge Coupled Device) through a lens in a storage device.

In recent years, for example, a shooting condition (also referred to as a shooting mode) combining shutter speed, ISO sensitivity, aperture, and the like is stored in advance in a digital camera, and the shooting mode is read at the time of shooting (for example, Patent Document 1). reference).
JP 2000-196946 A

  Compared to film-type cameras, digital cameras are popular because they can save DPE man-hours and costs, can erase failed images at will, and can be easily manipulated with a personal computer. It has become widespread.

  In terms of image processing, many users transfer images once taken from a digital camera to a computer, etc., check the images taken on the computer, and if necessary, use image processing software, etc. Correct fogging and poor exposure, and print the corrected image. Alternatively, the image processing software installed in the digital camera is similarly corrected, and the corrected image is printed.

  By the way, it is normal for the user himself to determine whether or not to correct a captured image. In other words, if the image matches the user's intention to shoot, no correction is necessary, but if a phenomenon such as blurring, blurring, color cast, or poor exposure that does not match the shooting intention occurs in the captured image, the correction is made. to decide. However, for general users who are not professional photographers, there are few cases where the intention of photographing as a standard is clear, and the fact is that the user is not confident in determining the necessity of image correction. Specifically, a phenomenon such as blurring, defocusing, color cast, and poor exposure cannot be found, or even if such a phenomenon is found, it may not be judged whether it is a level that requires correction.

  The present invention has been made in view of such circumstances, and the object of the present invention is to realize an image scoring device that automatically scores a captured image, and for a user to determine the necessity of image correction. Is to help.

  In order to solve the above-described problem, the image scoring device according to the first aspect of the present invention is an image capturing unit that electronically captures an object (for example, the viewfinder 1002, the imaging lens 1004, the image sensor 1006, and the shutter switch 1010 in FIG. 1). 2, CPU 10, RAM 30, image capturing unit 40, operation input unit 42, step S6 in FIG. 5) and whether or not the state of the image captured by the image capturing means satisfies a preset condition. Detecting means (for example, the CPU 10 in FIG. 2, the specific phenomenon detecting process in FIG. 6) and scoring means for scoring the photographed image according to the detection result by the detecting means (for example, the CPU 10 in FIG. 2, FIG. 5). Steps S18 to S22) and display means (for example, the display 1008 in FIG. 1, the CPU 10 in FIG. Radical 113 44, characterized in that it comprises a step S24) in FIG.

  Further, the program of the invention described in claim 6 is an image capturing means for electronically capturing a subject (for example, a finder 1002, a photographing lens 1004, an image sensor 1006, a shutter switch 1010 in FIG. 1, a CPU 10, a RAM 30 in FIG. A detection function for detecting whether or not the state of an image photographed by the photographing means satisfies a preset condition in a computer including the photographing unit 40, the operation input unit 42, and step S6) of FIG. (For example, the CPU 10 in FIG. 2, the specific phenomenon detection process in FIG. 6) and a scoring function for scoring the photographed image according to the detection result by this detection function (for example, the CPU 10 in FIG. 2, step S18 in FIG. 5). To S22) and a display function for displaying the scoring result by this scoring function (for example, the display 1008 in FIG. 1, the CPU 10 in FIG. 2, display) 44, step S24 in FIG. 5) and, to realize.

  The “preset conditions” mentioned here specifically means that, for example, a phenomenon such as poor exposure such as blurring or blurring, overexposure or underexposure, poor color tone such as color cast, or poor gradation occurs. Say the conditions that are considered. In other words, it refers to a condition in which a phenomenon that is generally considered to require correction has occurred.

  According to the first or sixth aspect of the invention, an apparatus for detecting whether or not the state of an electronically photographed image satisfies a preset condition and scoring according to the detection result is realized. it can. The scoring result can be displayed and shown to the user. Therefore, it is possible to help the user to determine the necessity of image correction.

  The invention according to claim 2 is the image scoring device according to claim 1, wherein the detecting means detects whether or not each of a plurality of preset conditions has occurred (for example, FIG. 3). 6), and the scoring means subtracts a score corresponding to each condition detected by the detection means from a reference point. It is characterized by having subtractive scoring means (for example, the CPU 10 in FIG. 2, the deduction table 25 in FIG. 3, and steps S20 to S22 in FIG. 5).

  According to the second aspect of the present invention, the same effect as that of the first aspect of the invention can be obtained, and each of a plurality of preset conditions is detected, and a scoring method according to the detected condition is used for scoring. A device can be realized.

  Invention of Claim 3 is an image scoring device of Claim 1 or 2, Comprising: The said detection means calculates the area of the part which satisfy | fills the said conditions among the image | photographed images. 2 has a calculation means (for example, the CPU 10 in FIG. 2, the region setting information 24 in FIG. 3, the blur area 32a in FIG. 9, and the step S113 in FIG. 10), and the scoring means has an area calculated by the area calculation means. It has an area reference scoring means (for example, the CPU 10 in FIG. 2 and steps S32 to S36 in FIG. 11) for scoring so that the score becomes lower as the size is larger.

  According to the invention described in claim 3, the same effect as that of the invention described in claim 1 or 2 is obtained, and the larger the area of the portion of the photographed image that satisfies the condition, the larger the area is. An apparatus for scoring so that the score can be lowered can be realized. In other words, the larger the area where a phenomenon that can generally be corrected is generated, the lower the score.

  Invention of Claim 4 is an image scoring apparatus as described in any one of Claims 1-3, Comprising: The said detection means is the area | region which satisfy | fills the said conditions among the image | photographed images. 2 is a means having an area determination means (for example, the CPU 10 in FIG. 2, the area setting information 24 in FIG. 3, the loop 1 and the loop 2 in FIG. 10), and displays the photographed image, , Area display control means for performing special display control of the area determined by the area determination means (for example, CPU 10 in FIG. 2, display unit 44, special display initial setting 27 in FIG. 3, steps S12 to S14 in FIG. 5). Is further provided.

  According to the invention described in claim 4, the same effect as that of the invention described in any one of claims 1 to 3 can be obtained, and a portion satisfying the condition can be displayed specially. Therefore, the user can easily know where a part that satisfies the condition, that is, a part where a phenomenon that can generally be corrected is generated.

  The image scoring device of the invention described in claim 5 is an imaging means for electronically photographing a subject (for example, a finder 1002, a photographing lens 1004, an imaging element 1006, a shutter switch 1010 in FIG. 1, a CPU 10, a RAM 30, in FIG. The imaging unit 40, the operation input unit 42, step S6 in FIG. 14, and calculation means (for example, the CPU 10 in FIG. 2 and step S40 in FIG. 14) for calculating the luminance histogram of the image captured by the imaging unit, Difference calculating means for obtaining a difference between the luminance histogram calculated by the calculating means and a predetermined reference luminance histogram (for example, the CPU 10 in FIG. 2, the reference luminance histogram 28, step S44 in FIG. 14), and the difference calculating means. Scoring means for scoring the captured image based on the difference (for example, CP in FIG. 2) 10 and steps S46 to S48 in FIG. 14 and display means (for example, the display 1008 in FIG. 1, the CPU 10 in FIG. 2, the display unit 44, and step S24 in FIG. 14) for displaying the scoring results by the scoring means. It is characterized by providing.

  Further, the program of the invention described in claim 7 is an image pickup means for electronically shooting a subject (for example, a viewfinder 1002, a shooting lens 1004, an image sensor 1006, a shutter switch 1010 in FIG. 1, a CPU 10, a RAM 30 in FIG. A calculation function (for example, the CPU 10 in FIG. 2 and the step S40 in FIG. 14) that calculates the luminance histogram of the image photographed by the photographing means is added to the computer having the photographing unit 40, the operation input unit 42, and the step S6 in FIG. ) And a difference calculation function for obtaining a difference between the luminance histogram calculated by the calculation function and a predetermined reference luminance histogram (for example, the CPU 10 in FIG. 2, the reference luminance histogram 28, step S44 in FIG. 14), and the difference calculation Scoring the captured image based on the difference calculated by the function 2 (for example, the CPU 10 in FIG. 2, steps S46 to S48 in FIG. 14), and a display function for displaying the scoring results of this scoring function (for example, the display 1008 in FIG. 1, the CPU 10 in FIG. 2, the display unit 44, FIG. 14). Step S24) and

  According to the fifth or seventh aspect of the present invention, it is possible to realize an apparatus that calculates a luminance histogram of a photographed image and calculates a difference in comparison with a reference luminance histogram. The image can be scored based on the difference. Therefore, it is possible to assist the user in determining the necessity of image correction using the distribution of the luminance level of the photographed image as a criterion.

  An image display control apparatus according to an eighth aspect of the present invention is an image pickup means for electronically shooting a subject (for example, a viewfinder 1002, a shooting lens 1004, an image sensor 1006, a shutter switch 1010, a CPU 10 and a RAM 30 in FIG. 2). , The image capturing unit 40, the operation input unit 42, step S6 in FIG. 5), and detection means for detecting a specific phenomenon in the image corresponding to the subject imaged by the image capturing unit (for example, the CPU 10 in FIG. 2 and FIG. 6). A specific phenomenon detection process) and an evaluation result (for example, specific display portions A3 and A4, names T3 and T4, and score K1 in FIG. 7) corresponding to the area where the specific phenomenon is detected by the detection unit. Display control means to control (for example, the display 1008 in FIG. 1, the CPU 10 in FIG. 2, the display unit 44, and steps S10 to S14 and S18 to S in FIG. 5). 4 and), characterized in that it comprises a.

The “specific phenomenon” mentioned here specifically refers to a phenomenon such as poor exposure such as blurring or defocusing, overexposure or underexposure, poor color tone such as color cast, and poor gradation. In other words, it refers to a phenomenon that is generally considered to be a phenomenon that is considered to require correction.
According to the invention described in claim 8, it is detected whether a specific phenomenon (specific phenomenon) appears in an electronically photographed image, in other words, whether or not a specific phenomenon is reflected, and the specific phenomenon is detected. It is possible to display an evaluation result for a region where is detected. Therefore, it is possible to help the user to determine the necessity of image correction.

  More preferably, as in the invention according to claim 9, in the image display control device according to claim 8, the display control means includes a special display unit (for example, in the area where the specific phenomenon is detected). 7 may include special display unit display control means (for example, the CPU 10 in FIG. 2 and steps S10 to S14 in FIG. 5) for displaying the specific display units A3 and A4) as the evaluation results.

  According to the ninth aspect of the invention, the same effect as that of the eighth aspect of the invention can be obtained, and which region in the captured image can be displayed. Therefore, it is possible to realize a display of the evaluation result that is more friendly to the user.

  Further, in the image display control device according to claim 8, as in the invention according to claim 10, the display control means includes a name of a phenomenon corresponding to a region where the specific phenomenon is detected (for example, FIG. 7 may be provided with phenomenon name display control means (for example, the CPU 10 in FIG. 2 and steps S10 to S14 in FIG. 5).

  According to the invention described in claim 10, the same effect as that of the invention described in claim 8 can be obtained, and the name of what specific phenomenon is detected can be displayed. Therefore, it is possible to realize a display of the evaluation result that is more friendly to the user.

  The invention according to claim 11 is the image display control device according to claim 8, wherein the display control means obtains a score corresponding to the area where the specific phenomenon is detected (for example, the score K1 in FIG. 7). ) May be displayed as the evaluation result (for example, the CPU 10 in FIG. 2 and steps S18 to S24 in FIG. 5).

  According to the invention described in claim 11, the same effect as that of the invention described in claim 8 can be obtained, and the evaluation result can be displayed as a specific score. Therefore, the evaluation result can be clearly shown by the user.

  ADVANTAGE OF THE INVENTION According to this invention, the apparatus which detects whether the state of the image image | photographed electronically satisfy | fills the preset conditions and scoring according to the detection result is realizable. The scoring result can be displayed and shown to the user. In addition, it is possible to realize an apparatus that calculates a luminance histogram of a photographed image and calculates a difference by comparison with a reference luminance histogram. The image can be scored based on the difference. Therefore, it is possible to help the user to determine the necessity of image correction.

  It also detects whether or not a specific phenomenon appears in an electronically photographed image (in other words, whether or not a specific phenomenon is reflected), and evaluates corresponding to the area of the image where the specific phenomenon is detected An apparatus for displaying the result can be realized. Therefore, it is possible to help the user to determine the necessity of image correction.

  The present invention is applicable to any electronic device capable of processing images, such as a digital camera, a camera-equipped mobile phone, a PDA (personal digital assistant), a personal computer, and a digital printing machine. However, it can be said that the timing immediately after shooting is one ideal condition for determining the quality of a shot image and the necessity of correction. Therefore, as an embodiment of the present invention, an example in which the present invention is applied to a digital camera which is a portable image display control device with a photographing function, and an image scoring device that scores images after photographing is described as an example. To do.

Embodiment 1
1A and 1B are schematic views of a digital camera 1000 according to the present embodiment, where FIG. 1A is a front perspective view and FIG. 1B is a rear perspective view. The digital camera 1000 is an electronic device that stores a subject image as a digital image.
As shown in FIG.
(1) A finder 1002 for aiming the subject to fit in the shooting frame;
(2) a photographing lens 1004 having an AF (autofocus) function and a zoom function;
(3) an image sensor 1006 such as a CCD (Charge Coupled Diode) or CMOS (Complementary Metal Oxide Semiconductor) that converts light (image of an object) incident through the photographing lens 1004 into a digital signal;
(4) a display 1008 such as an LCD (Liquid Crystal Display) or an ELD (Electronic Luminescent Display) that displays a captured image;
(5) a shutter switch 1010;
(6) a memory throttle 1014 to which a memory card 1012 for storing (storing) data of a photographed image is detachable;
(7) Input keys 1016 such as direction keys and button switches for inputting various operations;
(8) A control unit 1020 that integrally controls the apparatus by arithmetic processing and a power source (not shown) are provided.

  The control unit 1020 includes a CPU (Central Processing Unit) 10 that executes arithmetic processing, a ROM (Read Only Memory) 20, and a RAM (Random Access Memory) 30.

When the power switch 1018 is pressed by the user and the power is turned on, the CPU 10 reads a predetermined program from the ROM 20 and puts the digital camera 1000 into a state where it can shoot.
When the photographing is ready, the user holds the digital camera 1000 with the photographing lens 1004 facing the subject and checks the composition for photographing through the viewfinder 1002. Further, when the photographing lens 1004 has a zoom function, the input key 1016 is operated to determine an appropriate angle of view. Then, the shutter switch 1010 is pressed halfway to activate the AF function to focus, and the shutter switch 1010 is further pressed to release the shutter and execute shooting.

  If the shutter switch 1010 is pressed, the image at the moment when the shutter is released is converted into a digital signal by the image sensor 1006 and displayed as a photographed image on the display 1008 and image data of one still image. Is stored in the memory card 1012. The captured and stored image can be appropriately reproduced and displayed on the display 1008.

  In addition, the digital camera 1000 includes a communication terminal 1019 connected to the communication line 2 and can send and receive image data taken with an external device. For example, it is generally performed that data of a captured image is transmitted from the digital camera 1000 to a personal computer, subjected to image processing by the personal computer, and then printed by a printer or the like connected to the personal computer. The communication line 2 mentioned here means a communication path through which data can be exchanged. In addition to a dedicated line (dedicated cable) and a LAN (Local Area Network) for direct connection, a telephone communication network, a cable network, the Internet, etc. In other words, the communication method may be wired or wireless.

  FIG. 2 is a functional block diagram illustrating an example of a functional configuration of the digital camera 1000 according to the present embodiment. As shown in the figure, the digital camera 1000 includes a CPU 10, a ROM 20, a RAM 30, a photographing unit 40, an operation input unit 42 that receives an operation from a user, and a display unit 44 that outputs a photographed image. A storage medium reading unit 50 that reads and writes data from and to the storage medium 52 and a communication control unit 60 that can be connected to the external device 62 via the communication line 2 are connected to each other by a data bus 70.

  The photographing unit 40 optically guides an object image and converts it into digital data. Specifically, it is realized from an optical lens formed from colorless and transparent glass or resin, a drive element for realizing the AF function, a zoom mechanism, an image sensor such as a CCD or CMOS, various color filters, and driver circuits thereof. The operation is controlled by the CPU 10. In FIG. 1, the photographing lens 1004 and the image sensor 1006 correspond to this.

  The operation input unit 42 receives various inputs from the user and outputs operation input signals to the CPU 10. Specifically, it can be realized by a button switch, a lever, a jog dial, a touch panel, or the like. In FIG. 1, the shutter switch 1010, the input key 1016, and the power switch 1018 correspond to this.

  The display unit 44 performs a display for displaying a currently captured image or a captured image in real time or for reproduction display. Specifically, it is realized by a display element such as an LCD or ELD, a driver circuit thereof, and a buffer memory for display. In FIG. 1, the display 1008 corresponds to this.

The storage medium 52 stores captured image data and various programs and data. Specifically, it is realized by a removable information storage medium such as a flash memory. In FIG. 1, the memory card 1012 corresponds to this.
The storage medium reading unit 50 writes data to and reads data from the storage medium 52. Specifically, it is realized by a read / write device corresponding to the type of medium of the storage medium 52, a driver circuit thereof, and the like. In FIG. 1, the memory throttle 1014 corresponds to this.

  The communication control unit 60 performs data communication with the external device 62 via the communication line 2. Specifically, it is realized by a wired / wireless communication device such as a modem or a wireless LAN card, a connection terminal of a communication cable, and a driver circuit thereof. In FIG. 1, the communication terminal 1019 corresponds to this.

  The CPU 10 reads various programs and data stored in the ROM 20 and performs arithmetic processing while using the RAM 30 as a temporary storage area, thereby controlling the functional blocks of the above units and controlling the digital camera 1000 in an integrated manner. .

  FIG. 3 is a diagram illustrating an example of information stored in the ROM 20 according to the present embodiment. As shown in FIG. 2A, the ROM 20 in this embodiment includes a system program 21, an image scoring program 22, a special display setting program 23, area setting information 24, a deduction table 25, a reference point 26, and the like. The special display object initial setting 27 is stored.

  The system program 21 is a program for realizing basic functions as a digital camera. The CPU 10 reads and executes the system program 21 to, for example, start processing for performing various initial settings, hardware inspection, loading of necessary programs, etc., white balance and various shooting mode setting processing, exposure measurement processing, Shutter speed and aperture control processing according to exposure measurement results, AF control processing, creation processing of image data of an image taken when the shutter is released, storage processing of an image in the storage medium 52, storage medium The management process of the image stored in 52, the reproduction display process of the image stored in the storage medium 52, the display process of various menu screens, and the like can be executed.

  The image scoring program 22 causes the CPU 10 to perform image analysis on the captured image and detect whether or not the state of the captured image satisfies a predetermined condition and the degree of the detected condition. A function, a function of specifying a region in the detected image, and a function of performing scoring according to the detected condition are realized. In the following description, for the sake of explanation, the state that “the state of the photographed image satisfies a predetermined condition” is also referred to as “a specific phenomenon has occurred” as appropriate, but it is synonymous.

  “A specific phenomenon has occurred” means, for example, “blurring” in which a part or the whole of an image is blurred, or “out-of-focus” that occurs when the distance between the subject and the digital camera 1000 changes after focusing. ”,“ Exposed exposure ”such as overexposure or underexposure that occurs when the brightness difference between the subject and the surrounding area is large. That is, it corresponds to a case where it is determined that such a phenomenon has occurred by analyzing a photographed image.

  The image scoring program 22 according to the present embodiment detects a specific phenomenon and at the same time realizes a function of specifying a region in an image in which the specific phenomenon occurs, a blur detection program 221 as a specific phenomenon detection program, And a detection program 222. These can be realized by appropriately using known techniques.

  For example, by executing the blur detection program 221, the CPU 10 detects the density change ratios of a plurality of pixels arranged in a certain direction for each region set by the region setting information 24. When the density change rate is lower than the predetermined reference value, it is determined that blurring has occurred in that region, and the level of the specific phenomenon is determined according to the density change rate. In the present embodiment, rank “A” indicates that the degree of blurring is relatively small, and rank “B” indicates that the degree of blurring is relatively large. Since detection is performed for each area, the detection result is directly used as a determination result for the area where the blur occurs.

In addition, for example, by executing the exposure failure detection program 222, the CPU 10 calculates a luminance histogram for each region set in the region setting information 24. If the peak of the brightness histogram is located on the brighter or darker side than the predetermined reference value, it is determined that the area is white or dark, and the exposure of the area is inappropriate and exposed. It is determined that a defect has occurred. Then, the level of exposure failure is determined according to how far the peak of the luminance histogram is from the reference value. Since detection is performed for each area, the detection result is directly used as a determination result for the area where the phenomenon occurs.
Then, based on the detection result of the specific phenomenon, the CPU 10 refers to the deduction table 25, reads the deduction corresponding to the detected specific phenomenon, subtracts the total deduction from the reference point 26, and calculates the target image. Score.

  The special display setting program 23 causes the CPU 10 to realize a function of setting a special display object for visually indicating a region in an image where a specific phenomenon occurs. The special display object is shown by covering or enclosing a region in the image in which a specific phenomenon occurs, for example, a line, a shaded area, an arrow, or the like. In the case of surrounding with a line, surrounding areas where the same specific phenomenon is detected are surrounded as one area group. Settings relating to which special display objects are to be displayed for which specific phenomenon (for example, settings for the display form of special display objects, text to be displayed together, etc.) are stored in the special display object initial setting 27.

  The area setting information 24 stores settings for dividing an image into a plurality of areas. Specifically, for example, as shown in the conceptual diagram of FIG. 5C, the entire captured image P is divided into a plurality of rectangular areas for each image size in the imaging mode. The area setting information 24 stores the area ID (AR1, AR2,...) And the position coordinates of the upper left corner and the lower right corner of the area in the image coordinate system in association with each other. In this embodiment, the image scoring program 22 detects a specific phenomenon for each area set by the area setting information 24.

  The deduction table 25 is table data for setting a deduction number for each specific phenomenon. Specifically, for example, as shown in FIG. 4D, a deduction value is stored in association with each degree of specific phenomenon (indicated by rank).

  FIG. 4 is a diagram showing an example of the configuration of the storage area of the RAM 30 in the present embodiment. The RAM 30 includes an area for temporarily storing various programs executed by the CPU 10 and data related to the execution of these programs.

  As shown in FIG. 5A, in the present embodiment, a captured image storage area 31R for storing captured image data and a detection result of a specific phenomenon detected by executing the image scoring program 22 are stored. The specific phenomenon detection result storage area 32R, the special display setting storage area 33R for storing the setting of the special display object set by executing the special display setting program 23, and the total deduction points based on the detection result of the specific phenomenon A deduction total storage area 34R for storing and a score storage area 35R for storing the score of the image obtained by subtracting the total deduction from the reference point are provided.

  The specific phenomenon detection result 32 stored in the specific phenomenon detection result storage area 32R includes, for example, a blurring rank and an exposure failure rank for each area set in the area setting information 24, as shown in FIG. Are stored in association with each other. Specifically, in the area AR1 in FIG. 6B, it indicates that a blur of rank A has occurred, and since no exposure failure has occurred, “0” is associated. That is, by referring to the specific phenomenon detection result 32, it is possible to know how much phenomenon has occurred in which region of the image to be processed.

  The special display setting 33 stored in the special display setting storage area 33R is a special display that covers or surrounds an area where each specific phenomenon occurs in the photographed image P as shown in the conceptual diagram of FIG. Stores the type of display object, display position, and display size setting. Specifically, the ID of the special display object, the type of the special display object, the representative point position coordinates of the special display object (in this case, the upper left corner position coordinate and the lower right corner position coordinate in the rectangular image coordinate system), Are stored in association with each other. That is, by referring to the special display setting 33, information on which special display object is to be displayed in which position in which position of the photographed image is obtained. Incidentally, FIG. 4C shows that a specific display object A1 indicated by a broken line and a text T1 indicating the content of a specific phenomenon are set so as to surround a region group where “blurring” occurs. ing. In addition, a specific display object A2 indicated by shading and a text T2 indicating the content of the specific phenomenon are set so as to cover an area where “exposure failure” occurs.

  FIG. 5 is a flowchart for explaining the overall processing flow in this embodiment. The processing described here is realized by the CPU 10 reading and executing the system program 21, the image scoring program 22, and the special display setting program 23.

  First, when the user depresses the power switch 1018 and the power is turned on, the activation process is executed, and the CPU 10 reads the system program 21 from the ROM 20 to make the digital camera 1000 ready for photographing (step S2).

  When the photographing is ready, the user holds the digital camera 1000 with the photographing lens 1004 facing the subject and checks the composition for photographing through the viewfinder 1002. Further, when the photographing lens 1004 has a zoom function, an appropriate angle of view is determined by operating a predetermined input key 1016. Then, the shutter switch 1010 is pressed halfway to activate the AF function to focus, and the shutter switch 1010 is further pressed to release the shutter and take a picture.

  If the shutter switch 1010 is pushed down to the end and the shutter is released (step S4; YES), the CPU 10 executes a photographing process in the same manner as a conventional digital camera (step S6). That is, the image at the moment when the shutter is released is converted into a digital signal by the image sensor 1006 and stored in the captured image storage area 31 </ b> R of the RAM 30 according to the setting of the shooting conditions such as the shooting mode. The CPU 10 displays the captured image on the display 1008 (step S8).

  Next, the CPU 10 executes the blur detection program 221 and the exposure failure detection program 222 to execute a specific phenomenon detection process (step S10).

  FIG. 6 is a flowchart for explaining the flow of the specific phenomenon detection process in the present embodiment. As shown in the figure, first, the CPU 10 initializes a specific phenomenon detection result storage area 32R and a special display setting storage area 33R (step S102). Specifically, the detection results of blur and exposure failure corresponding to each region of the specific phenomenon detection result 32 are all set to “0 (not detected)”. Further, the special display setting 33 is cleared, and no special display object is set.

  Next, the CPU 10 refers to the area setting information 24 and acquires area setting information according to the pixel size of the captured image (step S104).

  Next, the CPU 10 executes the process of loop 1 for each area set in the area setting information 24 (steps S106 to S114). In loop 1, it is determined whether or not blur has occurred in each region. If blur is detected (step S108; YES), the blur rank of the region is determined (step S110), and the determination result is specified. It stores in the phenomenon detection result 32 (step S112).

  Next, the CPU 10 executes the process of loop 2 for each area set by the area setting information 24 (steps S116 to S124). In loop 2, it is determined whether or not an exposure failure has occurred in each region. If an exposure failure is detected (step S118; YES), the rank of the exposure failure in the region is determined (step S120), and the determination result. Is stored in the specific phenomenon detection result 32 (step S122). When the process of loop 2 is completed, the CPU 10 ends the specific phenomenon detection process.

  Returning to the overall flow of FIG. 5, the CPU 10 executes the special display setting program 23 to set a special display object based on the specific phenomenon detection result 32 (step S12). Specifically, for example, when covering or enclosing a region where a specific phenomenon occurs, referring to the specific phenomenon detection result 32, regions where blurring of the same rank occurs are adjacent to and connected to each other. Search for a group of regions. Then, the type of the special display object set to “blur” is read from the special display object initial setting 27, and the special coordinates are determined from the image coordinate system position coordinates of the upper left corner and the image coordinate system position coordinates of the lower right corner of the searched area group. The display position / size of the display object is determined and stored in the special display setting storage area 33R. When there are a plurality of groups of areas, the same processing is repeated, and a plurality of the same type of special display objects are registered in the special display setting storage area 33R. Subsequently, similarly for the exposure failure, a continuous area group is searched, and the setting of the special display object is stored in the special display setting storage area 33R. When displaying a special display object so as to cover an area, a specific display object corresponding to the detected specific phenomenon is set for each area where the specific phenomenon is detected.

  If the special display object is set, the CPU 10 causes the special display object to be displayed on the photographed image displayed on the display 1008 (step S14). As a result, on the display 1008, a specific display object corresponding to the specific phenomenon is displayed on the photographed image, so that the user can determine in which part of the image and over what range the specific phenomenon has occurred. Can be understood at a glance.

  Then, the set special display object is drawn on the alpha channel of the image stored in the captured image storage area 31R (step S16). In the alpha channel, a special display object that covers or surrounds the area where the specific phenomenon occurs is written in the same manner as displayed on the display 1008 in step S14. Thus, by referring to the information of the alpha channel of the image data, it is possible to know what specific phenomenon has occurred in which area when the image is corrected thereafter. That is, the CPU 10 functions as a unit that draws an image obtained by photographing the specific display object on the alpha channel and stores information on the specific display object.

  Next, the CPU 10 obtains image scores. First, with reference to the deduction table 25 (step S18), the total deduction points corresponding to the specific phenomenon detection result 32 are calculated (step S20). Specifically, referring to the specific phenomenon detection result 32, if a blurring of rank A occurs in any region, a deduction value “4” corresponding to the phenomenon is added to the total deduction, and similarly If there is a region where blurring of rank B occurs, the corresponding deduction point value “8” is added to the total deduction points. This is repeated for all types of phenomena, and the total deduction points are calculated.

  When the total deduction points are calculated, the CPU 10 subtracts the total deduction points from the value of the predetermined reference point 26, calculates the score of the target image, and stores it in the score storage area 35R (step S22). Then, the score is displayed on the display 1008 (step S24). As a result, the score of the captured image is displayed on the display 1008.

  Next, the CPU 10 sets a storage ID into which the calculated score is inserted (step S24). Specifically, for example, a storage ID “PICT012 (serial number) -86 (score)” is set. Then, the image data of the image stored in the captured image storage area 31R is stored in the memory card 1012 with a storage ID (step S26). That is, the CPU 10 functions as means for storing a scoring result for a captured image in association with the image.

  FIG. 7 is a diagram showing a display example of the display 1008 in the present embodiment. FIG. 6A corresponds to step S8. A captured image P is displayed on the display 1008. The image P is an image of a landscape, where houses are taken at the bottom of the screen, sky is at the top of the screen, and trees are taken on the left and right of the screen. When the image scoring program 22 is executed, special display portions A3 and A4 are displayed in an overlapping manner on the portion where the specific phenomenon occurs as shown in FIG. In this case, a special display object having a frame shape is displayed on the special display portions A3 and A4. In addition, phenomenon names T3 and T4 corresponding to the displayed area are displayed (corresponding to step S14). Further, the score of the photographed image is calculated, and the score K1 is displayed as shown in FIG. 10C (corresponding to step S22).

  Through the above processing, the digital camera 1000 according to the present embodiment displays an area where a specific phenomenon occurs when an image is captured, performs scoring according to the detected specific phenomenon, and displays the score of the image. it can.

  Usually, since a digital camera is about the size of a palm, the screen size of the display 1008 is small. For this reason, it is difficult to determine whether or not a specific phenomenon has occurred even if an image photographed on the display 1008 is viewed after photographing. On the other hand, according to the digital camera 1000 in the present embodiment, since the area where the specific phenomenon occurs can be clearly indicated by a special display, the user looks at the special display object displayed on the photographed image. Whether or not to correct from the position, size, and number where the specific phenomenon occurs can be determined more accurately on the spot immediately after shooting. In addition, since the determination can be made immediately after shooting, there is an advantage that shooting can be performed again depending on circumstances. Furthermore, since the score is displayed even if it is unclear whether or not to correct, the user can make a clearer judgment by using this as one judgment material.

  In the present embodiment, as an example of the specific phenomenon, blurring and exposure correction have been described as examples, but it is a matter of course that other conditions may be appropriately set as detection targets. For example, it may be possible to detect defocusing or color cast.

[Embodiment 2]
Next, as Embodiment 2, a case where scoring is performed according to the area where a specific phenomenon occurs will be described. The present embodiment can be realized basically in the same manner as in the first embodiment, and the same components as those in the first embodiment are denoted by the same reference numerals and the description thereof is omitted.

  FIG. 8 is a diagram illustrating an example of information stored in the ROM 20 in the present embodiment. As shown in the figure, the ROM 20 in this embodiment includes a shake detection program 221-2 corresponding to the shake detection program 221 of the first embodiment and an exposure failure detection program 222 corresponding to the exposure failure detection program 222 of the first embodiment. -2 is stored. According to the blur detection program 221-2 and the exposure failure detection program 222-2, the CPU 1 can realize a function of obtaining an area in an image in which a specific phenomenon is detected, as compared with the first embodiment.

  FIG. 9 is a diagram showing an example of the configuration of the storage area of the RAM 30 in the present embodiment. As shown in the figure, in the specific phenomenon detection result storage area 32R of the RAM 30 in this embodiment, a blur area 32a and a defective exposure area 32b are further stored as compared with the first embodiment. In the blur area 32a and the poor exposure area 32b, the number of regions in which each specific phenomenon is detected is stored. When initialized, “0” is stored in the blur area 32a and the poor exposure area 32b.

  FIG. 10 is a flowchart for explaining the flow of the specific phenomenon detection process in the present embodiment. As shown in the figure, in the loop 1, when blurring occurs in the region to be processed (step S108; YES), the blur rank is determined (step S110), and the blur rank is detected as a specific phenomenon. After storing in the result 32 (step S112), “1” is further added to the blur area 32a (step S113). As a result, at the end of the loop 1, the number of areas in which blurring occurs in the captured image, that is, the area where a specific phenomenon is detected in units of areas is stored in the blurring area 32a.

  Similarly, when an exposure failure has occurred in the region to be processed in loop 2 (step S118; YES), the rank of the exposure failure is determined (step S120), and the rank of the exposure failure is determined as a specific phenomenon detection result. 32 (step S122), “1” is further added to the poor exposure area 32b (step S123). As a result, at the end of the loop 2, the number of the areas where the exposure failure has occurred in the photographed image, that is, the area where the specific phenomenon is detected in units of the area is stored in the exposure failure area 32b. Become.

  FIG. 11 is a flowchart for explaining the overall processing flow in the present embodiment. In this embodiment, as shown in the figure, when the special display object is displayed over the captured image, the area ratio of the region where the specific phenomenon indicated by the special display object occurs is calculated and additionally displayed. (Step S30).

Further, the CPU 10 refers to the deduction table 25 and the specific phenomenon detection result 32 (step S32), and calculates an area correction deduction corresponding to the area where the specific phenomenon occurs for each specific phenomenon (step S34). Specifically, in the case of “blur (rank A)”, the deduction point “4” set in the blur (rank A) is referred to from the deduction table 25, and the specific phenomenon detection result 32 is referred to to determine the blur area 32a. Refer to the value (area). Then, the area correction deduction is calculated by the formula (1) by multiplying the predetermined area coefficient. Area correction deduction = area x area coefficient x deduction ... Formula (1)
And CPU10 calculates | requires the sum of the calculated area correction deduction, and calculates a score by subtracting from the reference point 26 (step S36).

  FIG. 12 is a diagram showing a display example of the display 1008 in the present embodiment. FIG. 6A corresponds to step S8. A captured image P is displayed on the display 1008. When the image scoring program is executed, special display portions A5 and A6 are displayed in an overlapping manner on the portion where the specific phenomenon occurs as shown in FIG. In this case, a special display object having a frame shape is displayed on the special display portions A5 and A6. In addition, phenomenon names T5 and T6 corresponding to the displayed area are displayed, respectively, and area ratios T7 and T8 for each specific phenomenon are displayed (corresponding to step S30). Then, the score of the photographed image is calculated, and the score K2 is displayed as shown in FIG. 10C (corresponding to step S34). Since the score K2 is a score to be subtracted as the size of the region where the specific phenomenon occurs, the user can determine the necessity of correction in view of the level at which the specific phenomenon occurs from the score.

[Embodiment 3]
Next, as a third embodiment, a case where an image captured using a luminance histogram is scored will be described. The luminance histogram is a graph of pixels included in an image by brightness (brightness / brightness), where the horizontal axis indicates the luminance and the vertical axis indicates the number of pixels. Sometimes referred to as a gray histogram. The present embodiment can be realized basically in the same manner as in the first embodiment, and the same components as those in the first embodiment are denoted by the same reference numerals and the description thereof is omitted.

  FIG. 13 is a diagram illustrating an example of information stored in the ROM 20 in the present embodiment. As shown in FIGS. 4A and 4B, the ROM 20 in the present embodiment stores a luminance histogram calculation program 223 for causing the CPU 10 to function as a means for calculating the luminance histogram of an image. Further, a reference luminance histogram 28 serving as a reference as shown in FIG. As the reference luminance histogram 28, for example, a value that is distributed almost on average throughout the luminance range of 0 to 255 is appropriately set.

  FIG. 14 is a flowchart for explaining the flow of processing in the present embodiment. As shown in the figure, in the present embodiment, after the captured image is displayed on the display 1008 (step S8), the CPU 10 reads and executes the luminance histogram calculation program 223, and is stored in the captured image storage area 31R. A luminance histogram of the image is calculated (step S40). Then, the reference luminance histogram 28 and the luminance histogram calculated in step S40 are displayed on the display 1008 so as to be superimposed on the image photographed on the same coordinate axis (step S42).

  Next, the CPU 10 calculates the residual number by comparing the reference luminance histogram 28 with the luminance histogram of the photographed image (step S44). Specifically, the absolute value of the difference between the frequency (that is, the number of pixels) in the reference luminance histogram 28 and the frequency in the luminance histogram of the photographed image is calculated for each luminance or predetermined luminance range, and the total luminance is summed. The two histograms are compared, and the number of pixels that do not match is determined as the residual number.

  If the residual number is calculated, the CPU 10 multiplies the residual number by a predetermined coefficient to calculate a deduction (step S46), and subtracts the deduction from the reference point 26 to calculate a score (step S48).

  FIG. 15 is a diagram showing a display example of the display 1008 in the present embodiment. FIG. 6A corresponds to step S8. A captured image P is displayed on the display 1008. When the image scoring program is executed, the display is performed so that the reference luminance histogram G1 and the luminance histogram G2 calculated in step S40 are superimposed on the image photographed on the same coordinate axis as shown in FIG. Is displayed at 1008 (corresponding to step S42). Then, the score of the photographed image is calculated, and the score K3 is displayed as shown in FIG. 10C (corresponding to step S24).

  Through the above processing, the digital camera 1000 according to the present embodiment can display the luminance histogram of the photographed image and the reference luminance histogram, and can display the score of the image corresponding to the residual of both histograms. .

  One way of thinking is that a substantially flat luminance histogram is considered to be a clear and easy-to-view image using the entire gradation uniformly. Therefore, the reference luminance histogram and the luminance histogram of the photographed image are displayed on the same coordinate axis, and the user can more accurately determine the quality of the photographed image on the spot immediately after photographing by looking at this. can do. In addition, since the determination can be made immediately after shooting, there is an advantage that shooting can be performed again depending on circumstances. Furthermore, since the score is displayed even if it is unclear whether or not to correct, the user can make a clearer judgment by using this as one judgment material.

It is a general-view figure of the digital camera to which the present invention is applied, (a) is a front perspective view, (b) is a rear perspective view. 2 is a functional block diagram illustrating an example of a functional configuration of a digital camera according to Embodiment 1. FIG. FIG. 3 is a diagram illustrating an example of information stored in a ROM according to the first embodiment. FIG. 3 is a diagram illustrating an example of a configuration of a RAM storage area according to the first embodiment. 5 is a flowchart for explaining the overall processing flow in the first embodiment. 5 is a flowchart for explaining the flow of a specific phenomenon detection process in the first embodiment. FIG. 3 is a diagram illustrating a display example of a display according to the first embodiment. FIG. 6 is a diagram illustrating an example of information stored in a ROM according to the second embodiment. FIG. 6 is a diagram illustrating an example of a configuration of a storage area of a RAM according to a second embodiment. 9 is a flowchart for explaining the flow of a specific phenomenon detection process in the second embodiment. 9 is a flowchart for explaining an overall processing flow in the second embodiment. FIG. 10 is a diagram showing a display example of a display in the second embodiment. FIG. 14 is a diagram illustrating an example of information stored in a ROM according to the third embodiment. 10 is a flowchart for explaining a flow of processing in the third embodiment. FIG. 10 is a diagram showing a display example of a display in the third embodiment.

Explanation of symbols

10 CPU
20 ROM
22 Image scoring program 221 Shake detection program 222 Exposure failure detection program 223 Luminance histogram calculation program 23 Special display setting program 24 Area setting information 25 Deduction table 26 Reference point 28 Reference luminance histogram 30 RAM
31R Captured image storage area 32R Specific phenomenon detection result storage area 33R Special display setting storage area 34R Deduction total storage area 35R Score storage area 40 Shooting unit 44 Display unit 50 Storage medium reading unit 52 Storage medium 1000 Digital camera 1002 Viewfinder 1004 Shooting lens 1006 Image sensor 1008 Display 1010 Shutter switch 1012 Memory card 1020 Control unit

Claims (11)

Photographing means for electronically photographing a subject;
Detecting means for detecting whether or not the state of the image photographed by the photographing means satisfies a preset condition;
Scoring means for scoring the photographed image according to the detection result by the detection means; display means for displaying the scoring result by the scoring means;
An image scoring device comprising: The detection means is means for detecting whether or not each of a plurality of preset conditions has occurred,
The scoring means has subtractive scoring means for scoring by subtracting a score corresponding to each condition detected by the detecting means from a reference point.
The image scoring device according to claim 1. The detecting means includes an area calculating means for calculating an area of a portion satisfying the condition in the photographed image,
The scoring means has area reference scoring means for scoring so that the score is lower as the size of the area calculated by the area calculating means is larger.
The image scoring device according to claim 1, wherein the image scoring device is an image marking device. The detection means is means having area determination means for determining an area that satisfies the condition in the captured image.
The display apparatus according to any one of claims 1 to 3, further comprising an area display control unit configured to display the photographed image and to perform a special display of the area determined by the area determination unit in the image. The image scoring device according to claim 1. Photographing means for electronically photographing a subject;
Calculating means for calculating a luminance histogram of an image photographed by the photographing means;
Difference calculating means for obtaining a difference between the luminance histogram calculated by the calculating means and a predetermined reference luminance histogram;
Scoring means for scoring the captured image based on the difference calculated by the difference calculating means;
Display means for displaying the scoring results of the scoring means;
An image scoring device comprising: To a computer equipped with a photographing means for electronically photographing a subject,
A detection function for detecting whether or not a state of an image photographed by the photographing means satisfies a preset condition;
A scoring function for scoring the captured image according to a detection result by the detection function, a display function for displaying a scoring result by the scoring function,
A program to realize To a computer equipped with a photographing means for electronically photographing a subject,
A calculation function for calculating a luminance histogram of an image photographed by the photographing means;
A difference calculation function for obtaining a difference between the luminance histogram calculated by the calculation function and a predetermined reference luminance histogram;
A scoring function for scoring the captured image based on the difference calculated by the difference calculating function;
A display function that displays the scoring results of this scoring function,
A program to realize Photographing means for electronically photographing a subject;
Detecting means for detecting a specific phenomenon in the image corresponding to the subject photographed by the photographing means;
Display control means for controlling to display an evaluation result corresponding to the region where the specific phenomenon is detected by the detection means;
An image display control device comprising:   9. The image display control apparatus according to claim 8, wherein the display control unit includes a special display unit display control unit that displays a special display unit as the evaluation result in an area where the specific phenomenon is detected.   9. The image display control apparatus according to claim 8, wherein the display control means includes a phenomenon name display control means for displaying a name of a phenomenon corresponding to an area where the specific phenomenon is detected as the evaluation result.   9. The image display control apparatus according to claim 8, wherein the display control means includes score display control means for displaying a score corresponding to an area where the specific phenomenon is detected as the evaluation result.

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