JP2010206244A - Image degradation evaluation system, image degradation evaluation method, and image degradation evaluation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform evaluative determination of effect due to interference electromagnetic waves in an image photographing device dealing with image information. <P>SOLUTION: The image degradation evaluation system includes: an image photographing device 1 for reading the image information; an interference electromagnetic wave generator 2 for radiating the interference electromagnetic waves to the image photographing device 1; and an image degradation degree computing device 9 provided with a means for acquiring a reference image read when the interference electromagnetic waves are not impressed and an evaluation image read when the interference electromagnetic waves are impressed from the image photographing device 1 and a means for comparing the reference image with the evaluation image and calculating the degradation degree of the evaluation image on the basis of the result value of the comparison and an editing image degradation index value indicating the image degradation degree of an editing image to which image editing processing is performed. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an evaluation system, an evaluation method, and an evaluation program for applying an interference signal to an electronic device and evaluating the influence of the interference signal in the electronic device.

Interfering electromagnetic waves (interfering signals) are applied to image transmission devices that handle image information, such as digital camera recorders and facsimile devices, and image quality degradation of images handled by image transmission devices is judged, and the effects of interference signals on image transmission devices are evaluated. A technique is disclosed.
However, if the quality of the image is determined by, for example, human visual inspection, human error may intervene in the inspection result, or block noise (missing image) may be missed depending on the physical condition of the test measurer. As a result, there is an inconvenience that the evaluation standard varies.

  In contrast, by generating a master image and an inspection image based on the image captured by the imaging device and comparing the images, the influence of the interference signal of the imaging device is inspected without intervention of human error. A facsimile image quality evaluation method and apparatus, which is a related technique, are disclosed (Patent Document 1).

Hereinafter, this related technology will be described.
As shown in FIG. 2, this related technique includes a facsimile device to be tested (EUT-FAX) 1 as a device under test (image transmission device) and an auxiliary facsimile device 2, and this facsimile device to be tested 1 and the auxiliary facsimile device. Application of applying a conduction interference wave to the tested facsimile apparatus 1 via the communication cable connecting the apparatus 2, the power cable 4 of the facsimile apparatus 1 to be tested, the power cable 5 of the auxiliary facsimile apparatus 2, and the communication cable. An application circuit 8 for applying a conducted disturbance wave to the facsimile apparatus 1 to be tested via a circuit 6, an interference wave generator 7 and a power cable is provided. Further, the configuration includes an interference wave generator 9, an antenna 10 that applies a radiation interference wave, an interference wave generator 11, a discharge gun 12 that applies static electricity, and an electrostatic generator 13.

  Furthermore, a facsimile image quality evaluation device 50 that performs image quality evaluation is provided. The facsimile image quality evaluation device 50 reads the image from the AE-FAX 2, the image reading control unit 15 that controls the scanner 14, and the read image. Image file management unit 16 managed as a file, image registration processing execution unit 17 for matching positions when comparing the original image file and the evaluation image file, and difference calculation processing for comparing the original image data and the evaluation image data The function unit 18 includes a MOS calculation evaluation function unit 19 that estimates an average opinion evaluation (MOS) from a comparison between original image data and evaluation image data, and a print function unit 20 that outputs a result.

This system has a system for transmitting an image from the facsimile apparatus 1 to be tested to the auxiliary facsimile apparatus 2 and a system for transmitting an image from the auxiliary facsimile apparatus 2 to the facsimile apparatus 1 to be tested. Apply to.
Then, the original image, which is a facsimile output image when no electromagnetic interference is applied, is collated with the evaluation image, which is a facsimile output image when electromagnetic interference is applied. The subjective evaluation value of quality is calculated.

This will be described in detail below.
First, an image is transmitted from the tested facsimile apparatus 1 to the auxiliary facsimile apparatus 2 with no electromagnetic interference applied to the facsimile apparatus 1 to be tested, and the scanner 14 reads the received image received by the auxiliary facsimile apparatus 2. And stored as an evaluation image file in the image file management unit 16.

Next, an image is transmitted from the tested facsimile apparatus 1 to the auxiliary facsimile apparatus 2 in a state where an electromagnetic interference wave is applied to the tested facsimile apparatus 1.
Next, the scanner 14 reads the received image received by the auxiliary facsimile device 2, and the image file management unit 16 stores the received image as an evaluation image file.

Next, the image registration processing execution unit 17 aligns the original image file and the evaluation image file, and the difference calculation processing function unit 18 performs comparison.
From the calculated differences, the MOS calculation evaluation function unit 19 estimates (calculates) MOS (Mean Opinion Score average opinion evaluation) as an average value of objective scores by the subject (MOS estimation).

Here, the MOS estimation will be described.
After the evaluation image data is obtained, a part (comparison part) for comparing the evaluation image data with the original image data is manually selected. In the difference calculation processing function unit 18, from the pixel information of the comparison portion,
(A) The maximum value of the vertical black pixel width included in the comparison portion is (L),
(A) The maximum value of the horizontal black pixel width included in the comparison portion is (W),
(C) When the number of black pixels included in the comparison portion is B1, and the black pixel included in the portion corresponding to the comparison portion of the original image is B2, the value represented by (B1-B2) / B2 is “B”. And
(D) The autocorrelation coefficient between adjacent pixels on the scanning line included in the portion corresponding to the comparison portion of the original image is set to “K”, and the following “Equation 1” is used for calculation.

ここで、Ｉ₀(ｔ)は第ｔ番目の画素であり、白画素なら「0」、黒画素なら「1」である。また、ｍは走査線各行の画素数である。
これらの値を用いてＭＯＳを、下記［数２］、［数３］を用いて推定する。

Here, I ₀ (t) is the t-th pixel, which is “0” for a white pixel and “1” for a black pixel. M is the number of pixels in each row of the scanning line.
Using these values, the MOS is estimated using the following [Equation 2] and [Equation 3].

  Here, a0 to a4 and b0 to b2 are determined in advance so that the quality evaluation test of a plurality of images is performed in advance by human visual observation, and the result obtained by this apparatus is close to the quality evaluation test result of human visual observation. .

As a specific method for evaluating the subjective quality of video, ITU-R BT. 500, dual stimulus disturbance scaling method (DSIS, EBU method), dual stimulus continuous quality scale method (DSCQS), single stimulus continuous quality evaluation method (SSCQE), simultaneous dual stimulus continuous quality evaluation method ( SDSCE) and the like are known.
However, these methods have a disadvantage that it takes a lot of cost and time because it is necessary to gather a large number of subjects in order to evaluate the image quality.

  For this reason, methods for objectively evaluating image quality without conducting subjective evaluation experiments have been studied. For example, SNR is disclosed as an index that objectively represents the degree of deterioration of the evaluation image with respect to the reference image. This is to calculate the signal-to-noise ratio expressed by the following equation [Equation 4] for each frame, using the difference between the original image and the evaluation target image as noise.

ここで、Ｐs信号電力、Ｐ_Nは雑音電力である。ＳＮＲは計算が簡単ではあるが、主観評価との相関が低い場合があるため、より主観評価と近い客観評価基準に関する研究が進められている。

Here, Ps signal power, P _N is noise power. Although the SNR is easy to calculate, there is a case where the correlation with the subjective evaluation may be low. Therefore, research on an objective evaluation standard closer to the subjective evaluation is underway.

In addition, as a related technology, an index value is used to objectively evaluate how much the evaluation image that has deteriorated in image quality deteriorates by applying compression, image processing, storage, etc. to the image that is the reference for evaluation. SSIM (Stractual Similality) has been proposed.
This makes it possible to obtain an objective evaluation that is highly correlated with human visual evaluation (subjective evaluation) as compared with the SNR.

Here, the calculation procedure of SSIM is shown below.
The reference image (X) is divided into M blocks as shown in FIG. Here, it is assumed that the unit block is composed of N pixels.
Next, for the first block, the average values μ _x and δ _x are calculated using the amplitude value X _i of each pixel by the following equations [Formula 5] and [Formula 6] (G).

Next, the calculation of the above (ki) is performed up to 1 to M blocks (ku).
Next, the evaluation target image (Y) is divided into M blocks similar to (F).
With respect to the first block, the average value μ _y and the variances δ _y and δ _xy are calculated using the amplitude values X _i of each pixel by the following equations [Expression 7], [Expression 8], and [Expression 9]. .

Next, (c) is calculated from 1 to M blocks (S).
Next, with respect to each block (for M blocks), the SSIM is calculated according to the following procedure according to the following equation [Equation 10] (S).

ここで、Ｃ_１とＣ_２はＳＳＩＭの値を安定させるために導入された定数である。

Here, C ₁ and C ₂ are constants introduced to stabilize the value of SSIM.

  Next, the MSSIM of the reference image X and the evaluation image Y is calculated by the following equation [Equation 11].

ここで、ＭＳＳＩＭ(x,y)の値は１に近い程、評価画像が基準画像と類似していることを意味し、０に近い程、評価画像が基準画像と類似していない、すなわち劣化していると判定するものとする。

Here, the closer the value of MSSIM (x, y) is to 1, the closer the evaluation image is to the reference image, and the closer to 0, the dissimilarity the evaluation image to the reference image, that is, deterioration. It shall be determined that

JP-A-10-1112775 JP 2006-203474 A

April 2004 IEE Transactions on Image Processing, Volume 13 Issue 4 (mage Quality Assessment: From Error Visibility to Structural Similality, IEEE TRANSACTIONS ON IMAGE PROCESSING Vol.13, No4, April , 2004)

  However, in the related technique disclosed in Patent Document 1, an image composed of black and white binary information is subjected to average opinion evaluation, and quality degradation of an image having image information such as a high gradation color image is evaluated. There was the inconvenience of not being able to.

  Further, in the related technique disclosed in Patent Document 2, since evaluation indexes such as standard deviation calculation, luminance deviation, and mean square error do not always coincide with sensory evaluation by human eyes, for example, as an image to be evaluated In the evaluation judgment by visual observation of humans, when there is an evaluation image A that appears to be clearly deteriorated and an evaluation image B that is hardly felt to be deteriorated, the evaluation image B is evaluated more There is a disadvantage that it is erroneously determined that the mean square error is larger than that of the image A.

  Furthermore, by limiting the MOS estimation target to images composed of black and white binary information, it is possible to objectively evaluate quality degradation of images having multi-gradation (N gradation) pixel information. For this reason, even if it is applied to another image reproducing device or image photographing device in place of the facsimile device, quality degradation cannot be objectively evaluated, and images other than the facsimile can be obtained. There is an inconvenience that it is difficult to quantitatively evaluate the electromagnetic interference effect on the electronic equipment to be handled.

[Object of invention]
The present invention provides an image deterioration evaluation system, an image deterioration evaluation method, and an image deterioration evaluation program for improving the inconveniences of the related techniques and performing an evaluation determination of the influence of interference electromagnetic waves in an image capturing apparatus that handles image information. Is the purpose.

  In order to achieve the above object, an image degradation evaluation system according to the present invention includes an image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image capturing device, and the image reading device. An image deterioration evaluation system including an image deterioration degree calculation device that calculates a degree of deterioration of image information read by the device, wherein the image deterioration degree calculation device is not applied with the disturbing electromagnetic wave from the image reading device. An image information acquisition unit that acquires a reference image that is image information that is sometimes read and an evaluation image that is image information that is read when the disturbing electromagnetic wave is applied, and stores the acquired image information The data management unit compares the reference image with the evaluation image, and indicates the result value of the comparison and the image degradation degree of the edited image that has undergone the image editing process. Has taken a configuration in which a deterioration degree calculation unit for calculating an image degradation degree in the evaluation image based on the current image degradation index value.

  The image deterioration evaluation method according to the present invention includes an image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image capturing device, and an image read by the image reading device. An image deterioration evaluation system comprising an image deterioration degree calculation device that calculates the degree of information deterioration, the image deterioration evaluation method for measuring the influence of disturbing electromagnetic waves in the image reading device, wherein the image reading device is Prior to the emission of the electromagnetic wave, the reference image is read and the image is read when the disturbing electromagnetic wave is applied. The image degradation degree calculation device acquires the reference image and the evaluation image and obtains the image information. The stored reference image and the evaluation image are stored, and the comparison result value and the edited image that has undergone image editing processing are stored. It is characterized by performing the calculation of the image degradation degree in the evaluation image based on the edited image degradation index value indicating an image degradation degree.

  An image deterioration evaluation program according to the present invention includes an image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image capturing device, and an image read by the image reading device. An image deterioration evaluation system including an image deterioration degree calculation device for calculating a degree of information deterioration, the image deterioration evaluation program for measuring an influence of an interference electromagnetic wave in the image reading device, the interference electromagnetic wave An image information acquisition function for performing a process of acquiring a reference image read when no interference is emitted and an evaluation image read when the disturbing electromagnetic wave is applied, and the reference image and the evaluation image And a comparison result value and an edited image deterioration index value indicating the image deterioration degree of the edited image subjected to the image editing process. An image deterioration level calculating function for calculating an image degradation degree in serial evaluation image, is characterized by causing a computer to execute with the image degradation degree computing device.

  Since the present invention is configured and functions as described above, an image information acquisition unit that acquires a reference image read when no disturbing electromagnetic wave is applied and an evaluation image read when the disturbing electromagnetic wave is applied; A deterioration degree calculation unit that compares the reference image and the evaluation image and calculates the deterioration degree of the evaluation image based on the comparison result value and the edited image deterioration index value indicating the image deterioration degree of the edited image that has undergone the image editing process. It is possible to provide an image deterioration evaluation system, an image deterioration evaluation method, and an image deterioration evaluation program that can more accurately evaluate and determine the influence of disturbing electromagnetic waves in an image capturing apparatus that handles image information. it can.

It is a schematic block diagram which shows one Embodiment of the image degradation evaluation system by this invention. It is a schematic block diagram which shows one Embodiment of the related art concerning the image degradation evaluation system disclosed in FIG. It is explanatory drawing which shows the processing content with respect to the reference | standard image and evaluation image in the image degradation evaluation system disclosed in FIG. It is explanatory drawing which shows the method of the calculation process of the image degradation degree in the image degradation evaluation system disclosed in FIG. It is a schematic block diagram which shows one Embodiment (modification) of the image degradation evaluation system disclosed in FIG. It is explanatory drawing which shows the method of the calculation process of the image degradation degree in the image degradation evaluation system disclosed in FIG.

[Embodiment]
Next, the basic content of the embodiment of the present invention will be described.

  As shown in FIG. 1, the image degradation evaluation system of the present embodiment includes an image capturing device 1 that captures a still object, and a disturbing electromagnetic wave that applies a disturbing electromagnetic wave to the image capturing device 1 via a preset antenna. The configuration includes a generation device 2 and an image evaluation determination device 9 that operates under program control and performs evaluation determination of an image read from the image capturing device 1.

  The image evaluation determination device 9 includes a CPU (Central Processing Unit), a storage device such as a memory, an HDD (Hard Disc Drive), and the like, and a program set in advance in the storage device. By executing the processing, the following functional processing is realized.

This will be described in detail below.
The image photographing device (image reading device) 1 has a moving image photographing reading function for photographing a moving image of a preset still object and reading a captured moving image.
Note that the image capturing device 1 may be configured to have a moving image reproduction function for reproducing moving image information input from the outside.

  Next, the image evaluation apparatus 9 includes a moving image reading unit 4 that acquires a captured moving image, a data management unit 5 that internally includes an image storage unit that stores the acquired moving image, and a data management unit 5. A still image extraction unit 6 that extracts preset image information (frame information) from the image data, and a degree of deterioration that reads out specific image information from the data management unit 5 and the still image extraction unit 6 and calculates the degree of deterioration of the image information The calculation unit 7 is included.

Note that the data management unit 5 assumes that the moving image acquired from the moving image reading unit 4 is a still object to be photographed, and therefore no matter what frame is extracted as a still image, there is almost no difference.
The still image extraction unit 6 reads an arbitrary frame image of a moving image (frame image group) stored and saved in the data management unit 5 and sets the read frame image as a reference image (X). Note that the reference image (X) is an image captured when no electromagnetic wave is applied to the image capturing device 1.

The interference electromagnetic wave generator 2 generates an electromagnetic wave having a desired frequency and has a function of transmitting an interference radio wave that irradiates the image photographing apparatus 1 as an interference radio wave via an antenna 3 installed in advance.
At this time, it is assumed that the image capturing apparatus 1 is capturing the stationary object in a state of receiving the disturbing electromagnetic wave.
Note that the stationary object (object) photographed when the interfering electromagnetic wave is applied and not applied may be a different stationary object.

  The data management unit 5 stores a moving image taken when the disturbing electromagnetic wave is applied as an evaluation moving image. The evaluation moving image is composed of a plurality of still images (frame images). Here, it is assumed that the data management unit 5 sets each frame image as an evaluation image.

  The deterioration degree calculation unit 7 includes a reference image (X) acquired in a state where no disturbing electromagnetic wave is applied, and an evaluation image (Y) acquired when the disturbing electromagnetic wave is applied (taken when the electromagnetic wave is applied). Are acquired (extracted) and compared to calculate the degree of deterioration in the image (Y) (image deterioration degree calculating function, image deterioration degree calculating step).

[Description of Operation of Embodiment]
Next, the overall operation of the image degradation evaluation system will be outlined.
First, the image capturing device 1 reads the reference image before the disturbing electromagnetic wave is radiated from the disturbing electromagnetic wave generator, and then reads the evaluation image when the disturbing electromagnetic wave is applied. A reference image and an evaluation image are acquired (image information acquisition step), and the image information is stored.
Next, the image evaluation device 9 compares the stored reference image and the evaluation image, and evaluates the evaluation image based on the comparison result value and the edited image deterioration index value indicating the image deterioration degree of the edited image subjected to the image editing process. The image degradation level is calculated at (image degradation level calculation step).

  Here, with respect to the image deterioration degree calculating step, the operation system determining step, and the operation system information providing step, the execution contents may be programmed and executed by a computer.

Next, the operation of this embodiment of the image degradation evaluation system will be described in detail.
First, the image capturing device 1 captures an image in a state where no disturbing electromagnetic wave is applied.
Here, it is assumed that the image capturing apparatus 1 is capturing a stationary object.
Next, the captured moving image is read by the moving image reading unit 4, and the data management unit 5 performs a moving image saving process.

  At this time, since the stored moving image is a still object to be imaged, there is almost no difference even if any frame is cut out as a still image. Therefore, an arbitrary frame image can be arbitrarily selected (extracted).

  Next, the still image extraction unit 6 cuts out an arbitrary frame of the stored moving image (frame image group) and sets (reads) this as a reference image (X).

Next, the disturbing electromagnetic wave generator 2 generates an electromagnetic wave of various specifications to be measured, and irradiates the image capturing apparatus 1 that is a measurement object via the antenna 3 with the disturbing electromagnetic wave.
At this time, the image capturing apparatus 1 captures an image (imaging step when an electromagnetic wave is applied).
Note that this imaging target is a stationary object (stationary object).
Further, the object to be imaged at this time may be a stationary object different from the stationary object imaged when no voltage is applied.

Next, the moving image reading unit 4 reads the captured moving image, and the data management unit 5 stores the read moving image (moving image storage processing step).
Here, the data management unit 5 sets each frame image of the frame image group constituting the stored moving image as the evaluation image (Y).

  Next, the deterioration degree calculation unit 7 obtains a reference image (X) acquired in a state where no disturbing electromagnetic wave is applied, and an evaluation image (Y taken when the disturbing electromagnetic wave is applied (taken when the electromagnetic wave is applied)). ) And a process of calculating the degree of deterioration in the image (Y) (image deterioration degree calculating step).

Here, the image deterioration degree calculating step will be described.
First, the reference image (X) is divided into M unit blocks (1 to M blocks) as shown in FIG. 2 (step S1). Note that the unit block is composed of N pixels set in advance.

Then, for the first block (the upper left of the block first block), as in step A2 of calculation procedure of the SSIM, by using the amplitude value X _i of each pixel, the following Equation 5, [ Based on Equation 6], the average values μ _x and δ _x are calculated (step S2).

ここでは、第１ブロック〜Ｍブロックそれぞれに対して（ステップＳ２）に示す計算を行う(ステップＳ３)。

Here, the calculation shown in (Step S2) is performed for each of the first block to the M block (Step S3).

Next, the first frame (Y) of the evaluation target moving image (hereinafter referred to as “evaluation target moving image”) is divided into M blocks in the same manner as shown in (a) above (step S4).
Next, with respect to the first block, the average value μ _y and the variances δ _y and δ _xy are calculated based on the following [Equation 7], [Equation 8], and [Equation 9] using the amplitude value X _i of each pixel. Calculate (step S5).

Further, for each of the second to N blocks, the average value μ _y and the variances δ _y and δ _xy are calculated by the equations (7), (8), and (9) using the amplitude value X _i of each pixel. (Step S6).

  Next, the SSIM is calculated based on [Equation 10] shown below for each of the first to N blocks (for M blocks) (step S7).

次に、基準画像Ｘと評価画像ＹのＭＳＳＩＭを（式１１）により計算する(ステップＳ８)。

Next, MSSIM of the reference image X and the evaluation image Y is calculated by (Equation 11) (step S8).

Next, the processing shown in (Step S4) to (Step S8) is performed on each stored image frame (Y).
Thereby, as shown in FIG. 4, the image degradation degree in a frame image can be evaluated along a time series.

  When the target image (moving image) is a color image, RGB (red green blue), YUV (luminance signal (Y), difference between luminance signal and blue component (U), difference between luminance signal and red component ( For each component such as V)), the MSSIM is calculated and the MSSIM of each component is averaged with a preset weight.

  Thereby, objective evaluation can be performed, and accurate evaluation of image degradation approximate to human visual evaluation can be performed.

[Modification]
Next, a modification of this embodiment will be described.

  As shown in FIG. 5, this modification is different from the above embodiment in that an image reproducing device 8 is provided instead of the image capturing device 1.

In addition, the data management unit 5 is connected to the image reproduction device 8, and a reference moving image is stored in the data management unit in advance. This is a reference image X.
Further, the interference electromagnetic wave generation device 2 generates electromagnetic waves of various specifications to be measured, and irradiates the image reproduction device 8 to be measured through the antenna 3 while reproducing the reference image X by the image reproduction device 8. The data is read by the reading unit 4 and the moving image is stored in the data management unit 5. The moving image stored at this time is referred to as an evaluation image Y.

  In the deterioration degree calculation unit 7, the reference image X is compared with the evaluation image Y acquired in the state where the disturbing electromagnetic wave is applied, and the deterioration degree is calculated.

Here, the operation of the above modification will be described with reference to FIG. 6. First, the first frame image of the reference image (X) is divided into M blocks as shown in FIG. The unit block is composed of N pixels (step S21).
Next, with respect to the first block, average values μ _x and δ _x are calculated by [Equation 5] and [Equation 6] using the amplitude value of each pixel.
The calculation shown in step S22 is performed for each of 1 to M blocks (step S23).
The first frame (Y) of the moving image to be evaluated is divided into M blocks similar to (step S21) (step S24).
For the first block, the average value μ _y and the variances δ _y and δ _xy are calculated from [Equation 7], [Equation 8], and [Equation 9] using the amplitude value of each pixel (step S25).
The calculation in step S25 is repeated from 1 to M blocks (step S26).
SSIM is calculated for each block (for M blocks) by [Equation 10] (step S27).

The MSSIM of the reference image X and the evaluation image Y is calculated by [Equation 11] (step S28).
Hereinafter, rather than performing the operation processing shown in (Step S21) to (Step S28) for all the frames, the MSSIM is calculated along the time series, and the degradation degree evaluation in the evaluation image is performed (Step S29).

  This modification objectively evaluates the degree of image degradation when an interference electromagnetic wave is applied not only to an image capturing device that captures an image, but also to an image playback device that reproduces the received image information (video information). can do.

  As described above, in the above-described embodiment and the modified example, it is possible to objectively evaluate the deterioration of quality by applying a disturbing electromagnetic wave to the image capturing device, and the device to be evaluated at that time reproduces and records It is possible to calculate the degree of degradation of an image more accurately without limitation on the gradation of the image to be performed.

  The present invention is an image processing apparatus that captures, reproduces, edits, and records an image, and can be applied to a system that measures image quality in the image processing apparatus regardless of the gradation of the image to be handled.

DESCRIPTION OF SYMBOLS 1 Image photographing device 2 Interference electromagnetic wave generator 3 Antenna 4 Moving image reading part 5 Data management part 6 Still image extracting part 7 Deterioration degree calculating part 8 Moving image reproducing apparatus 9 Image evaluation apparatus

Claims (9)

Based on an image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image capturing device, and an edited image deterioration index value that indicates an image deterioration degree of an edited image that has undergone image editing processing An image deterioration degree calculation device that calculates the degree of deterioration of image information read by the image reading device;
The image degradation degree calculation device is:
An image information acquisition unit that acquires a reference image that is image information read when the disturbing electromagnetic wave is not applied from the image reading device and an evaluation image that is image information read when the disturbing electromagnetic wave is applied. A data management unit for storing the acquired image information;
A deterioration degree calculation unit that compares the reference image and the evaluation image and calculates an image deterioration degree in the evaluation image based on the edited image deterioration index value calculated using a result value of the comparison. An image degradation evaluation system characterized by that. In the operation system setting system according to claim 1,
A static image extraction unit that extracts an arbitrary frame image from the frame image group when the image is a frame image group including a plurality of different frame images;
The image deterioration evaluation system, wherein the deterioration degree calculation unit includes a frame image deterioration degree calculation function for calculating the deterioration degree of the evaluation image based on the extracted frame image based on the image deterioration index value. In the image degradation evaluation system according to claim 1,
The image degradation evaluation system, wherein the edited image degradation index value is an SSIM (Structural Similarity) based on the reference image and the evaluation image. In the image degradation evaluation system according to claim 2,
The deterioration degree calculation unit divides the reference image and the evaluation image into preset region groups, and compares the corresponding regions of the reference image and the evaluation image to determine the deterioration degree in the evaluation image. An image deterioration evaluation system comprising a division comparison function for calculating based on an image deterioration index value. In the image degradation evaluation system according to claim 1,
In the case where the reference image and the evaluation image are a reference frame image group and an evaluation image group made up of a plurality of frame images obtained by continuously shooting a preset object to be imaged, the deterioration degree calculation unit is configured to use the reference image group. And an image deterioration evaluation system comprising a moving image comparison function for extracting and comparing reference image information and evaluation images in order of time series from the evaluation image group. In the image degradation evaluation system according to claim 1,
The image reading device has an image reproduction function for reproducing image information stored in the data management unit,
The image deterioration evaluation system is provided with a reproduction image acquisition function for acquiring the reference image and the evaluation image when the image information is reproduced by an image reading device. In the image degradation evaluation system according to claim 5 or 6,
The deterioration degree calculation unit divides the reference image and the evaluation image into preset region groups, and compares the corresponding regions of the reference image and the evaluation image to determine the deterioration degree in the evaluation image. An image deterioration evaluation system comprising a division comparison function for calculating based on an image deterioration index value. An image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image photographing device, and an image deterioration degree calculation that calculates the degree of deterioration of image information read by the image reading device An image deterioration evaluation system comprising an apparatus, wherein the image deterioration evaluation method measures the influence of disturbing electromagnetic waves in the image reading device,
The image reading device reads the reference image before the electromagnetic wave is radiated and reads the image when the disturbing electromagnetic wave is applied, and the image deterioration degree calculation device acquires the reference image and the evaluation image. In addition, the image information is stored together, the stored reference image and the evaluation image are compared, and the comparison result value and the edited image deterioration index value indicating the image deterioration degree of the edited image subjected to the image editing process are displayed. An image deterioration evaluation method, comprising: calculating an image deterioration degree in the evaluation image based on the calculation result. An image reading device that reads image information, a disturbing electromagnetic wave generator that emits disturbing electromagnetic waves to the image photographing device, and an image deterioration degree calculation that calculates the degree of deterioration of image information read by the image reading device An image deterioration evaluation system comprising an apparatus, an image deterioration evaluation program for measuring the influence of disturbing electromagnetic waves in the image reading device,
An image information acquisition function for performing a process of acquiring a reference image read when the disturbing electromagnetic wave is not radiated and an evaluation image read when the disturbing electromagnetic wave is applied;
The reference image and the evaluation image are compared, and the image degradation level in the evaluation image is calculated based on the comparison result value and the edited image degradation index value indicating the image degradation level of the edited image that has undergone the image editing process. An image deterioration evaluation program that causes a computer provided in the image deterioration degree calculation device to execute an image deterioration degree calculation function.

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