KR101846017B1 - Apparatus and method for generating image with noise - Google Patents

Abstract

The present invention proposes a noise image generating apparatus and method for generating a noise image by inserting at least one noise selected from different types of noises into an input image before converting the input image. The apparatus according to the present invention includes: a noise image generation unit for generating the noise image by inserting the noise into the input image; a noise image converting unit for converting the noise image; and a noise image outputting unit for outputting the noise image. Accordingly, the present invention can generate and input the noise image with the same quality as an image which is actually obtained in an infrared detector.

Description

[0001] Apparatus and method for generating a noise image [0002]

The present invention relates to a noise image generating apparatus and method for generating a noise image by inserting noise into an input image. And more particularly, to a noise image generating apparatus and method for generating a noise image to verify the performance of a video signal processor.

When a predetermined image is acquired by the electro-optical unit, the image signal processor of the image searcher extracts the position information of the target using an image preprocessing algorithm, a target tracking algorithm, and the like. In addition, the image signal processor transmits the position information of the extracted target to the induction control device of the guided weapon to provide important information for guiding the guided weapon such as the missile.

However, the target information extraction performance of the image signal processor is affected by the quality of the image obtained by the electro - optical part, and the quality of such image is largely determined by the noise of the infrared detector.

In order to verify the performance of the video signal processor in various noise environments, images stored in the respective noise levels are required. However, in the related art, only the image acquired by the electro-optical unit is charged, so that it is impossible to verify the performance of the image searcher in various noise environments.

Korea Open Patent No. 2012-0117549 (Publication date: October 24, 2012)

SUMMARY OF THE INVENTION The present invention is conceived to solve the problems described above, and it is an object of the present invention to provide a noise image generating apparatus and method for generating a noise image by inserting at least one noise selected from different types of noise into an input image, It is aimed to propose.

It is another object of the present invention to provide an image processor performance verification system and method for verifying the performance of a video signal processor using noise images with various noise inserted therein.

However, the objects of the present invention are not limited to those mentioned above, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a noise image generation apparatus comprising: a noise image generation unit for generating a noise image by inserting noise into an input image; A noise image converting unit for converting the noise image; And a noise image output unit for outputting the noise image.

According to another aspect of the present invention, there is provided a method of generating a noise image, the method comprising: generating a noise image by inserting noise into an input image; Transforming the noise image; And outputting the noise image. According to another aspect of the present invention, there is provided a method for generating a noise image.

The present invention also provides a noise image generating apparatus for generating a noise image by inserting noise into an input image; A noise image processor for processing the noise image to generate information about the target; And a performance verifying unit for verifying the performance of the noise image processing unit by comparing the information about the target obtained from the input image and the information about the target obtained from the noise image.

According to another aspect of the present invention, there is provided a method of generating a noise image, the method comprising: generating a noise image by inserting noise into an input image; Processing the noise image to generate information about the target; And verifying the performance of the apparatus for processing the noise image by comparing the information about the target obtained from the input image and the information about the target obtained from the noise image, do.

The present invention can achieve the following effects through the configurations for achieving the above object.

First, a noise image of the same quality as that of the actual acquired image can be generated and charged in the infrared detector, and various images necessary for developing a target tracking algorithm of the searcher can be generated and charged.

Second, it is possible to evaluate the performance of the video signal processor in various noise environments by arbitrarily adjusting the noise level.

1 is a conceptual diagram schematically showing an image processing system according to an embodiment of the present invention.
2 is a flowchart illustrating an image charging function of the image charging apparatus according to an embodiment of the present invention.
3 is a flowchart illustrating an image storage function of an image charging apparatus according to an embodiment of the present invention.
4 is a conceptual diagram for explaining an internal structure of a USB interface constituting an image charging device.
5 is a conceptual diagram for explaining an internal structure of a transmission module constituting an image charging device.
6 is a conceptual diagram for explaining an internal structure of a receiving module constituting an image loading device.
7 is a reference diagram for explaining the noise model of the infrared ray detector.
8 is a flowchart illustrating a method of operating a noise generator according to an embodiment of the present invention.
FIG. 9 is a reference view showing images before and after application of noise.
FIG. 10 is a conceptual diagram schematically illustrating internal configurations of a noise image generating apparatus according to a preferred embodiment of the present invention.
11 is a flowchart schematically illustrating a noise image generating method according to a preferred embodiment of the present invention.
FIG. 12 is a conceptual diagram schematically illustrating internal configurations of a video processor performance verification system according to a preferred embodiment of the present invention.
13 is a flowchart schematically illustrating a method of verifying performance of an image processor according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. In addition, the preferred embodiments of the present invention will be described below, but it is needless to say that the technical idea of the present invention is not limited thereto and can be variously modified by those skilled in the art.

The present invention relates to an image input device capable of generating an image obtained by synthesizing noise characteristics of an infrared ray detector on an arbitrary image without requiring an electro-optical part for separate image acquisition, and verifying the performance of the image signal processor.

In the case of the present invention, it is possible to change the noise level according to the user's need and to charge the image after generation, so that the performance of the image signal processor in various noise environments can be verified with one image.

Also, in the present invention, the main noise of the infrared detector, such as dark current noise, photon shot noise, johnson noise, flicker noise or 1 / f noise, and preamplifier noise may be arbitrarily generated to check the performance characteristics of the image signal processor according to the noise level.

Hereinafter, an image charging apparatus having an infrared noise synthesizing function will be described with reference to the drawings.

1 is a conceptual diagram schematically showing an image processing system according to an embodiment of the present invention.

1, the image processing system 100 includes an image charge controller 110, an image storage controller 120, an image charging device 130, and an image signal processor 140.

The image charging controller 110 transmits the charging object image to the image charging apparatus 130. The image charging controller 110 may be implemented by a notebook computer or a PC. When the image charging controller 110 is implemented as a notebook supporting the USB 3.0 port, the image charging controller 110 may transmit the charging object image to the image charging apparatus 130 through the USB 3.0 interface.

The image storage controller 120 performs a function of storing images received from the warrant charging device 130. The image storage controller 120 may be implemented as a notebook computer or a PC and when the image storage controller 120 is implemented as a notebook that supports a USB 3.0 port, And may store the image received from the controller 130.

The image charging apparatus 130 converts the image received from the image charging controller 110 and adds the same effect as the characteristic noise of the infrared detector to the received image when converting the received image, And performs a function of copying the optical head. The image charging apparatus 130 includes a noise generator for adding the same effect as the characteristic noise of the infrared detector to the reception image. The video-recording apparatus 130 may be implemented in an FPGA form.

The image charging apparatus 130 may convert an analog image signal received from the image charge controller 110 into a digital image signal to simulate an electro-optical head of the image searcher. For example, the image charging device 130 may convert the USB signal to a low voltage differential signaling (LVDS) signal to simulate the electro-optical head of the image searcher.

When the USB signal is converted into the LVDS signal to simulate the electro-optical head of the image searcher, the image charging device 130 includes a USB interface (USB I / F) 131, an LVDS interface (LVDS I / F) 132, (TX) module 133 and a receiving module (RX module) The internal structure of the video recording apparatus 130 will be described later.

The image signal processor 140 is a video signal processor for an image searcher and transmits the raw image data to the image input device 130 so that the image input from the image input device 130 can be stored externally do. For example, the video signal processor 140 may transmit the LVDS video signal to the video recording apparatus 130 as an LVDS video signal of the same format.

Meanwhile, the image charging device 130 converts the image signal input from the image signal processor 140 and transmits the converted image signal to the image storage controller 120. For example, the image charging device 130 may convert an LVDS image signal to a USB image signal and transmit the image signal to the image storage controller 120.

The image charging device 130 converts the image transferred from the image charging controller 110 to charge the image signal processor 140 and charges the image.

The video image recording apparatus 130 can add a characteristic noise of an infrared ray detector at the time of arrival to create an image quality similar to an image acquired by an actual detector and charge the image. The performance evaluation of the processor 140 is possible.

In the case of performing the image charging function, the image charging apparatus 130 can perform the following functions in detail.

First, the image charging device 130 can charge an image according to a user's selection.

Second, the image charging device 130 stores the image in a memory (ex. DDR3 RAM).

Third, the image charging device 130 generates noise, synthesizes the image, and then charges the image.

Fourth, the image charging apparatus 130 charges a predetermined size image (eg, 640 × 481 × 14 bit × 50 Hz) using a USB 3.0 port.

In addition, when performing the image storage function, the image charging apparatus 130 can perform the following functions in detail.

First, the image charging device 130 can simultaneously store images output from the image signal processor 140.

Second, the image charging device 130 stores and transfers the image to a memory (e.g., DDR3 RAM).

Third, the image charging apparatus 130 transfers the image to the image storage controller 120 through the FPGA. The image charging apparatus 130 may transfer the image to the image storage controller 120 at USB 3.0 100 Hz.

The video recording apparatus 130 may operate in the following order when performing the video recording function.

2 is a flowchart illustrating an image charging function of the image charging apparatus according to an embodiment of the present invention.

First, the video charging device 130 confirms a TX USB connection between the video charging controller 110 and the video charging device 130 (S205).

If the connection is confirmed, the image-recording apparatus 130 activates a transmitter (S215). On the other hand, if the connection is not confirmed, the image charging device 130 maintains deactivation of the transmitter (S210) and reaffirms the TX USB connection (S205).

When the transmitter is activated, the image charging apparatus 130 selects whether to apply the noise (S220).

The image charging apparatus 130 generates and adds a noise model to the input image when the noise is applied (S225).

Thereafter, the image charging apparatus 130 activates the image charging mode (S230), and selects an image for each channel (S235, S245) (S240a, S250a).

On the other hand, if the image charging apparatus 130 does not select an image for each channel, a basic pattern image which is a default image is loaded (S240b, S250b).

When the selection is completed for all the channels, the video charging apparatus 130 starts charging video (S255).

The image charging function of the image charging apparatus 130 may be terminated at the request of the user.

On the other hand, the video-recording apparatus 130 can operate in the following order when performing an image storage function.

3 is a flowchart illustrating an image storage function of an image charging apparatus according to an embodiment of the present invention.

First, the video charging device 130 confirms an RX USB connection between the video storage controller 120 and the video charging device 130 (S310).

If the connection is confirmed, the video charging apparatus 130 activates the receiver (S330), but if the connection is not confirmed, the receiver is deactivated (S320) and the RX USB connection is reconfirmed (S310).

When the receiver is activated, the image charging apparatus 130 starts image storage (S340).

The image storage function of the image charging device 130 may be terminated at the request of the user as well as the image charging function.

Next, the internal structure of the video recording apparatus 130, which will be described later, will be described.

4 is a conceptual diagram for explaining an internal structure of a USB interface constituting an image charging device.

The USB interface 131 includes a first FSM 410 and a second FSM 420 to interface with a USB transceiver included in the image charging controller 110 and the image storage controller 120.

The first FSM 410 is a USB slave FIFO finite state machine (FSM) and is responsible for communication with the USB transceiver slave FIFO.

The second FSM 420 is an FPGA FIFO state FSM, and stores data received from the USB transceiver. In addition, the second FSM 420 functions to notify the FIFO state inside the FPGA for transmitting the data transferred from the DDR memory to the USB transceiver.

5 is a conceptual diagram for explaining an internal structure of a transmission module constituting an image charging device.

5, the transmission module 133 includes a first storage control block 511, a first memory controller 512, a first noise generator 513, a first data transmission control block 514, Block 521, a second memory controller 522, a second noise generator 523, and a second data transfer control block 524.

The first storage control block (1ch TX FIFO to Mem block) 511 transfers data from the USB transceiver slave FIFO to the DDR3 memory in order to transfer the data received from the USB interface 131 to the video signal processor 140 .

The first memory controller (DDR3 controller) 512 serves as an interface (I / F) with the DDR3 memory. The first storage control block 511 stores data in the DDR3 memory through the first memory controller 512. [ The first memory controller 512 may be designed utilizing Xilinx MIG IP.

The first noise generator (3-D Noise Gen) 513 performs a function of adding noise to data input through the first storage control block 511 and the first memory controller 512. The first noise generator 513 generates a noise model, which is characteristic noise of the infrared detector, and adds the noise model to the input image.

The first data transmission control block (1ch TX Mem to FIFO) 514 receives the noise added data by the first noise generator 513 in consideration of the LVDS timing of the LVDS signal through the LVDS interface 132, And transmits it to the signal processor 140. This function of the first data transfer control block 514 is for transferring data from the first TX module (1ch LVDS serializer) of the LVDS interface 132 to the first serial converter (1ch LVDS serializer).

The second storage controller 521, the second memory controller 522, the second noise generator 523 and the second data transmission control block 524 are connected to a first storage control block 511, a first memory controller 512 ), The first noise generator 513, and the first data transmission control block 514. In detail, it performs the following functions.

Similarly to the first storage control block 511, the second storage control block (2ch TX FIFO to Mem block) 521 is connected to the USB transceiver slave FIFO 521 to transfer the data received from the USB interface 131 to the video signal processor 140. [ (USB transceiver slave FIFO) to DDR3 memory.

The second memory controller (DDR3 controller) 522 functions as an interface (I / F) with the DDR3 memory in the same manner as the first memory controller 512. The second storage control block 521 stores data in the DDR3 memory through the second memory controller 522. [

The second noise generator (3-D noise generator) 523 performs a function of adding noise to the data input through the second storage control block 521 and the second memory controller 522. The second noise generator 523 generates a noise model, which is characteristic noise of the infrared detector, and adds the noise model to the input image.

The second data transmission control block (2ch TX Mem to FIFO) 524 receives the noise-added data by the second noise generator 523 in consideration of the timing of the LVDS signal through the LVDS interface 132, ). ≪ / RTI > This function of the second data transfer control block 524 is for transferring data from the second TX module of the LVDS interface 132 to the second serial LVDS serializer.

5, the first storage control block 511 and the second storage control block 521 are illustrated as storage control blocks included in the transmission module 133, but the present invention is not limited thereto. For example, the transmission module 133 may have one storage control block or three or more storage control blocks.

In the transmission module 133, a memory controller, a noise generator, a data transmission control block, and the like are provided in the same number as the storage control block. However, in the present invention, it is possible to provide a smaller number of memory controllers, noise generators, data transfer control blocks, etc. than the storage control blocks.

6 is a conceptual diagram for explaining an internal structure of a receiving module constituting an image loading device.

6, the receiving module 134 includes a third storage control block 611, a third memory controller 612, a third data transmission control block 613, a fourth storage control block 621, A fourth data transfer control block 623, a fifth storage control block 631, a fifth memory controller 632 and a fifth data transfer control block 633. The controller 622, the fourth data transfer control block 623, the fifth storage control block 631,

The third storage control block (1ch RX FIFO to Mem block) 611 receives the first RX module (1ch RX module) of the LVDS interface 132 from the first serializer (1ch LVDS deserializer) in consideration of the timing of the LVDS signal And acquires data received via the network. The third storage control block 611 stores the acquired data in the DDR3 memory using the third memory controller 612. [

The third memory controller 612 may be designed using the Xilinx MIG IP in the same manner as the first memory controller 512.

The third data transfer control block (1ch RX Mem to FIFO block) 613 reads the image data stored in the DDR3 memory. The third data transfer control block 613 transfers the image data to the USB transceiver of the image storage controller 120 using the FIFO.

The fourth storage control block 621, the fourth memory controller 622 and the fourth data transfer control block 623 are connected to the third storage control block 611, the third memory controller 612, (613). Similarly, the fifth storage control block 631, the fifth memory controller 632 and the fifth data transfer control block 633 are also connected to the third storage control block 611, the third memory controller 612, And performs the same function as the control block 613. In detail, it performs the following functions.

The fourth storage control block (2ch RX FIFO to Mem block) 621 receives the second RX module (2ch RX module) of the LVDS interface 132 from the second serializer (2ch LVDS deserializer) in consideration of the timing of the LVDS signal And acquires data received via the network. The fourth storage control block 621 stores the acquired data in the DDR3 memory using the fourth memory controller 622. [

The fourth memory controller 622 can be designed using the Xilinx MIG IP in the same manner as the second memory controller 522. [

The fourth data transfer control block (2ch RX Mem to FIFO block) 623 reads the image data stored in the DDR3 memory. The fourth data transfer control block 623 transfers the image data to the USB transceiver of the image storage controller 120 using the FIFO.

The fifth storage control block (3ch RX FIFO to Mem block) 631 receives the third RX module (3ch RX module) of the LVDS interface 132 from the third serial LVDS deserializer in consideration of the timing of the LVDS signal And acquires data received via the network. The fifth storage control block 631 stores the acquired data in the DDR3 memory using the fifth memory controller 632. [

The fifth memory controller 632 may be designed using the Xilinx MIG IP in the same manner as the second memory controller 522. [

The fifth data transfer control block (3ch RX Mem to FIFO block) 633 reads the image data stored in the DDR3 memory. The fifth data transfer control block 633 transfers the image data to the USB transceiver of the image storage controller 120 using the FIFO.

6, a case where the receiving module 134 includes three storage control blocks including a third storage control block 611, a fourth storage control block 621, and a fifth storage control block 631 will be described as an example have. However, the present invention is not limited thereto. That is, the receiving module 134 may include one or two storage control blocks or four or more storage control blocks.

In the reception module 134, a memory controller, a data transmission control block, and the like are provided in the same number as the storage control block. However, in the present invention, it is possible to provide a smaller number of memory controllers, data transfer control blocks, etc. than the storage control blocks.

Next, the noise generator included in the transmission module 133 of the video recording apparatus 130 will be described. In FIG. 5, the first noise generator 513 and the second noise generator 523 perform the same function. Hereinafter, the first noise generator 513 will be described as an example.

The first noise generator 513 generates a noise model and adds the noise model to the image data. The first noise generator 513 may generate a noise model related to the output of the infrared detector and add the noise model to the image data.

First, the output model of the infrared ray detector will be described.

The output of the infrared detector can be expressed as: < EMI ID = 1.0 >

In the above, s (v, h, T _s ) denotes an image signal at the (v, h) position pixel of the infrared detector. Where h denotes the number of pixels in the horizontal direction and v denotes the number of pixels in the vertical direction.

n (t, v, h, T _S , T _D , T _f ) denotes a random noise signal of the infrared detector. Where T _S means the temperature of the source and T _D means the temperature of the infrared detector. And T _f is the temperature of the feedback resistor.

G (v, h) denotes the gain of the infrared detector, and F (v, h) denotes the offset of the infrared detector.

The image photocurrent generated by the photon flux incident on the infrared detector having the source temperature T _s is defined by the following equation (2).

In the above,? Represents the quantum efficiency of the infrared detector. q is the charge, and φ _P (v, h, T _S ) is the photon flux of the infrared detector.

The photon flux of the infrared detector is defined by the following equation (3).

In the above,? _Max denotes the maximum value of the cutoff wavelength, and? _Min denotes the minimum value of the cutoff wavelength. _Lq denotes the radiant luminance, and τ _W denotes the window transmittance. Also, τ _OPTICS means lens permeability and τ _CF means cold filter transmittance. Also, τ _FPA means the FPA transmittance and A _d means the pixel area of the infrared detector. Also, f / # means the f-number of the infrared detector.

Next, the noise model of the infrared ray detector generated by the first noise generator 513 based on the output model of the infrared ray detector will be described.

The noise of the infrared detector is largely divided into dark current noise, photon noise, johnson noise, 1 / f noise, flicker noise, preamplifier noise, .

In the present invention, the first noise generator 513 randomly generates such noise, and then synthesizes the noise to image data to generate a noise image. This can be expressed by the following equation.

The dark current noise is ideally a noise caused by the fluctuation of the dark current in the actual environment although the dark current of each pixel of the infrared detector should be the same.

The first noise generator 513 can arbitrarily generate dark current noise according to the following equation.

In the above, τ denotes the integration time of the infrared detector, and i ₀ denotes the reverse saturation current. T _D is the temperature of the infrared detector, and RA is the resistance area of the infrared detector. K _B is the Boltzmann constant, and a _D is the active area of the infrared detector.

Photon noise refers to the fluctuation noise caused by the random arrival rate of the photons incident on the infrared detector.

The first noise generator 513 may arbitrarily generate the photon noise according to the following equation.

Johnson noise refers to the noise caused by the random movement of charged carriers in the electric element of an infrared detector.

The first noise generator 513 may arbitrarily generate Johnson noise according to the following equation.

Where R _D is the resistance of the infrared detector and T _f is the temperature of the feedback resistor. R _f is the feedback resistance of the preamplifier.

Flicker noise (1 / f noise) refers to the noise generated in a semiconductor in an infrared detector, and has a characteristic of increasing greatly at a low frequency.

The first noise generator 513 may arbitrarily generate flicker noise according to the following equation.

Where B ₀ is a proportional constant. V _DC denotes the DC bias voltage of the infrared detector, and f denotes the signal modulation frequency. Α and β are the weights determined by the elements of the infrared detector and the manufacturing process. For example, α≈2 and β≈1.

Preamplifier noise refers to the noise generated by an amplifier circuit that converts an infrared detector signal into a voltage.

The first noise generator 513 can arbitrarily generate preamplifier noise according to the following equation.

I _preamp means a current noise of a preamplifier, and v _preamp means a voltage noise of a preamplifier.

The RMS size of the total noise is as shown in the following Equation (10).

7 is a reference diagram for explaining the noise model of the infrared ray detector.

Figure 7 (a) shows the ideal signal. FIG. 7B shows a situation in which dark current noise is reflected in an ideal signal, and FIG. 7C shows a situation in which photon noise is reflected in an ideal signal. FIG. 7 (d) shows a situation in which flicker noise is reflected in an ideal signal, and FIG. 7 (e) shows a situation in which preamplifier noise is reflected in an ideal signal.

As a result, the noise image of Equation (4) is the sum of random variables having an average of 0, and the total RMS noise current is an output of a normal distribution having an average of 0 and an RMS value of the total noise of Equation Results are obtained.

A description has been given of the noise model of the ideal infrared ray detector. Hereinafter, a method in which the first noise generator 513 generates the noise image finally based on each noise model will be described.

8 is a flowchart illustrating a method of operating a noise generator according to an embodiment of the present invention.

First, the first noise generator 513 calculates dark current noise based on Equation (5) (S710).

Thereafter, the first noise generator 513 calculates the photon noise based on Equation (6) (S720).

Thereafter, the first noise generator 513 calculates Johnson noise based on Equation (7) (S730).

Thereafter, the first noise generator 513 calculates flicker noise based on Equation (8) (S740).

Then, the first noise generator 513 calculates the preamplifier noise based on Equation (9) (S750).

Although FIG. 8 illustrates that the process is performed sequentially from step S710 to step S750, the present invention is not limited to this order. That is, in the present invention, any of the steps may be performed first, or at least two steps may be performed simultaneously.

When both the dark current noise, the photon noise, the Johnson noise, the flicker noise, and the preamplifier noise are calculated, the first noise generator 513 calculates the RMS value of the total noise based on Equation (10) (S760).

Thereafter, the first noise generator 513 calculates a normal distribution output based on the RMS value of the total noise, and finally generates a noise image (S770).

FIG. 9 is a reference view showing images before and after application of noise. 9 (a) shows an original image before noise is applied, and FIG. 9 (b) shows an image after noise is applied.

9 (a)) generated by a user, a noise-applied image (FIG. 9 (b)) generated in an actual infrared detector is applied to a video signal processor using a noise image- The same effect as the input can be obtained.

The present invention can be applied to a millimeter-wave searcher, a dual-mode image searcher, and the like.

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention has been described with reference to Figs. Best Mode for Carrying Out the Invention Hereinafter, preferred forms of the present invention that can be inferred from the above embodiment will be described.

FIG. 10 is a conceptual diagram schematically illustrating internal configurations of a noise image generating apparatus according to a preferred embodiment of the present invention.

10, the noise image generating apparatus 800 includes a noise image generating unit 810, a noise image converting unit 820, a noise image outputting unit 830, a first power source unit 840, and a first main controller 850 ). The noise image generating apparatus 800 corresponds to the image input apparatus 130 of FIG.

The first power supply unit 840 performs a function of supplying power to each of the components constituting the noise image generating apparatus 800.

The first main control unit 850 controls the overall operation of each of the components constituting the noise image generating apparatus 800.

The noise image generating unit 810 performs a function of generating a noise image by inserting noise into the input image. The noise image generation unit 810 corresponds to the transmission module 133 of FIG. In particular, the noise image generating unit 810 corresponds to the first noise generator 513 and the second noise generator 523 of FIG.

The noise image generating unit 810 may generate a noise image by inserting noise related to the characteristic of the infrared detector into the input image. The noise image generating unit 810 may generate at least one of a dark current noise, a photon noise, a Johnson noise, a 1 / f noise, and a preamplifier noise Noise can be used as noise related to the characteristics of the infrared detector.

When the noise image is generated by inserting the dark current noise, the noise image generating unit 810 generates the noise image based on the integration time of the infrared ray detector, the reverse saturation current associated with the operation of the infrared ray detector, the temperature of the infrared ray detector, Images can be generated.

When the noise image is generated by inserting the photon noise, the noise image generator 810 can generate the noise image based on the quantum efficiency of the infrared detector, the photon flux of the infrared detector, and the integration time of the infrared detector have.

When the noise image is generated by inserting Johnson noise, the noise image generating unit 810 generates the noise image by using the integration time of the infrared ray detector, the temperature of the infrared ray detector, the information about the resistance provided in the infrared ray detector, And the temperature of the feedback resistor.

When the noise image is generated by inserting the flicker noise, the noise image generator 810 generates the noise image by using the DC bias voltage of the infrared detector, the integration time of the infrared detector, the information about the modulation frequency associated with the operation of the infrared detector, It is possible to generate a noise image based on the information about the resistance and the weight value associated with the elements provided in the infrared detector.

In the case of generating a noise image by inserting preamplifier noise, the noise image generator 810 generates a noise image by adding a current noise of a preamplifier provided in the infrared detector, a voltage noise of the preamplifier, It is possible to generate a noise image based on information on the preamplifier and information on the feedback resistance of the preamplifier.

The noise image generating unit 810 may generate a noise image based on the rms values associated with at least two different noises.

The noise image converting unit 820 performs a function of converting the noise image generated by the noise image generating unit 810. The noise image converting unit 820 corresponds to the transmitting module 133 of FIG.

The noise image converting unit 820 can convert a noise image in the form of a USB signal into a noise image in the form of a low voltage differential signaling (LVDS) signal.

The noise image output unit 830 outputs the noise image converted by the noise image conversion unit 820 to the outside. The noise image output unit 830 is a concept corresponding to the LVDS interface 132 in FIG.

Next, an operation method of the noise image generating apparatus 800 will be described.

11 is a flowchart schematically illustrating a noise image generating method according to a preferred embodiment of the present invention.

First, the noise image generating unit 810 generates a noise image by inserting noise into the input image (S910). At this time, the noise image generating unit 810 may generate a noise image by inserting noise related to the characteristic of the infrared detector into the input image.

Thereafter, the noise image converting unit 820 transforms the noise image generated by the noise image generating unit 810 (S920). At this time, the noise image converting unit 820 can convert the noise image of the USB signal type into the noise image of the LVDS signal type.

Thereafter, the noise image output unit 830 outputs the noise image converted by the noise image conversion unit 820 (S930).

Next, an image processor performance verification system including a noise image generation apparatus 800 will be described.

FIG. 12 is a conceptual diagram schematically illustrating internal configurations of a video processor performance verification system according to a preferred embodiment of the present invention.

12, the image processor performance verification system 1000 includes a noise image generation apparatus 800, a noise image processing unit 1010, a performance verification unit 1020, and a second main control unit 1030.

The second main control unit 1030 controls the overall operation of each configuration of the image processor performance verification system 1000.

The noise image generating apparatus 800 generates a noise image by inserting noise into an input image. Since the noise image generating apparatus 800 has been described above with reference to FIG. 10, a detailed description thereof will be omitted here.

The noise image processor 1010 processes the noise image generated by the noise image generator 800 and generates information about the target. The noise image processing unit 1010 corresponds to the image signal processor 140 of FIG.

The performance verification unit 1020 performs a function of verifying the performance of the noise image processing unit 1010 by comparing the information about the target obtained from the input image and the information about the target obtained from the noise image. The performance verification unit 1020 may be implemented by a conventional computer.

The performance verifying unit 1020 can verify the performance of the noise image processing unit based on whether or not the information about the target obtained from the input image is also detected from the information about the target obtained from the noise image. For example, the performance verification unit 1020 can determine that the noise image processing unit 1010 is operating abnormally with respect to noise if the information about the target obtained from the input image is not detected from the information about the target obtained from the noise image.

Next, an operation method of the image processor performance verification system 1000 will be described.

13 is a flowchart schematically illustrating a method of verifying performance of an image processor according to a preferred embodiment of the present invention.

First, the noise image generating apparatus 800 inserts noise into the input image to generate a noise image (S1110).

Thereafter, the noise image processing unit 1010 processes the noise image to generate information about the target (S1120).

Then, the performance verification unit 1020 compares the information about the target obtained from the input image with the information about the target obtained from the noise image to verify the performance of the noise image processing unit 1010 (S1130).

It is to be understood that the present invention is not limited to these embodiments, and all elements constituting the embodiment of the present invention described above are described as being combined or operated in one operation. That is, within the scope of the present invention, all of the components may be selectively coupled to one or more of them. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. In addition, such a computer program may be stored in a computer readable medium such as a USB memory, a CD disk, a flash memory, etc., and read and executed by a computer to implement an embodiment of the present invention. As the recording medium of the computer program, a magnetic recording medium, an optical recording medium, or the like can be included.

Furthermore, all terms including technical or scientific terms have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined in the Detailed Description. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

It will be apparent to those skilled in the art that various modifications, substitutions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. will be. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are intended to illustrate and not to limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings . The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

Claims (13)

A noise image is generated by inserting noise into an input image to verify the performance of the image signal processor. The noise image is generated by inserting noise related to the characteristic of the infrared detector into the input image, A noise image generating unit for generating the noise image based on a photon flux of the infrared detector and an integration time of the infrared detector;
A noise image converting unit for converting the noise image; And
A noise image output unit for outputting the noise image,
Wherein the noise image generating unit generates the noise image. delete The method according to claim 1,
Wherein the noise image generating unit is configured to generate at least one noise of dark current noise, Johnson noise, 1 / f noise, and preamplifier noise to noise associated with the characteristics of the infrared detector Is used as the noise image. The method according to claim 1,
Wherein the noise image generating unit generates the noise image based on an integration time of the infrared ray detector, an inverse saturation current associated with the operation of the infrared ray detector, a temperature of the infrared ray detector, and a resistance area of the infrared ray detector Device. delete The method according to claim 1,
Wherein the noise image generating unit generates the noise image based on the integration time of the infrared ray detector, the temperature of the infrared ray detector, the information about the resistance provided to the infrared ray detector, the information about the feedback resistance provided to the infrared ray detector, And generates the noise image. The method according to claim 1,
The noise image generating unit may include a DC bias voltage of the infrared ray detector, an integration time of the infrared ray detector, information on a modulation frequency associated with the operation of the infrared ray detector, information about a resistance of the infrared ray detector, And generates the noise image based on a weight value associated with the device. The method according to claim 1,
The noise image generating unit may include information on current noise of a preamplifier provided in an infrared detector, voltage noise of the preamplifier, information on a resistance provided in the infrared detector, and information on a feedback resistor of the preamplifier, And the noise image generating unit generates the noise image. The method according to claim 1,
Wherein the noise image generating unit generates the noise image based on an effective value associated with at least two different noises. The method according to claim 1,
Wherein the noise image converting unit converts a noise image in the form of a USB signal into a noise image in the form of a low voltage differential signaling (LVDS) signal. A method of generating a noise image by inserting noise into an input image to verify performance of the image signal processor, the noise image being generated by inserting noise related to a characteristic of an infrared detector into the input image, Generating the noise image based on the efficiency, the photon flux of the infrared detector, and the integration time of the infrared detector;
Transforming the noise image; And
Outputting the noise image
And generating a noise image. delete delete

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