JP2021022916A - Color estimation device, color estimation method, and program - Google Patents

Abstract

To correctly estimate the color of an image of a size that is difficult to be identified.SOLUTION: When a server estimates the color for a marker candidate area that is smaller than a debayer filter, the server estimates the color of the marker candidate area by using a HSV mean value which is an average value of hue H, saturation S, and lightness V of the marker candidate area in consideration with the Bayer array of a color filter. Furthermore, the server converts the HSV mean value to RGB (RGB mean value) by modifying the HSV mean value as appropriate and performing pixel format conversion, and sets the RGB mean value to all pixels in the marker area.SELECTED DRAWING: Figure 7

Description

The present invention relates to a color estimation device, a color estimation method and a program.

Conventionally, a technique has been considered in which a marker modulates information with brightness and color in the wavelength region of visible light to emit light, and transmits the information. There is also a technique in which the modulated visible light is simultaneously received by the image sensor of the camera in parallel, and the received position in the image sensor is associated with the demodulated information (see, for example, Patent Document 1).

JP-A-2016-139998

However, when the distance between the marker and the camera is long, and as a result, an image of the light emitted by the marker is imaged at a predetermined size or less on the light receiving surface of the imaging element, the color (emission color) emitted by the image of the light is emitted. ) Is strongly influenced by any of the colors of the red, green, and blue (RGB) arrangement of the color filter, and there arises a problem that the emitted color cannot be recognized correctly.

The present invention has been made in view of such problems, and an object of the present invention is to correctly estimate the color of an image having a size in which it is difficult to specify the color.

In order to achieve the above object, the color estimation device according to the present invention
A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged, and
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light, and the estimation means.
It is characterized by having.

In order to achieve the above object, the color estimation method according to the present invention
A light receiving step in which light is received by a plurality of arranged light receiving elements in which the color to which the received light belongs is specified from the light receiving position.
When the position of the light receiving element received in the light receiving step is other than the position where the color to which the received light belongs can be specified, the estimation step of estimating the color to which the light belongs based on the brightness of the received light. When,
It is characterized by including.

In order to achieve the above object, the program according to the present invention
Computer,
A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged.
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light.
It is characterized by functioning as.

According to the present invention, it is possible to correctly estimate the color of an image having a size for which it is difficult to specify the color.

It is a figure which shows an example of the visible light communication system which concerns on embodiment of this invention. It is a figure which shows an example of the structure of the mobile device which concerns on the same embodiment. It is a figure which shows an example of the configuration of the server which concerns on the same embodiment. It is a figure which shows an example of the Bayer arrangement of the color filter which concerns on the same embodiment. (A) is a diagram showing an example in which the red marker region according to the same embodiment is included in the red filter, and (b) is an example in which the red marker region according to the same embodiment overlaps the green filter and the blue filter. (C) is a diagram showing another example in which the region of the red marker according to the same embodiment overlaps the green filter and the blue filter. (A) is a diagram showing an example of a hue circle according to the same embodiment, and (b) is a diagram showing an example of a color plane according to the same embodiment. It is a flowchart which shows an example of the operation of the color estimation by the server which concerns on this embodiment. It is a flowchart which shows an example of the 1st operation in detail of the color estimation by the server which concerns on this embodiment. It is a flowchart which shows an example of the 2nd operation in detail of the color estimation by the server which concerns on this embodiment. It is a flowchart which shows an example of the 3rd operation in detail of the color estimation by the server which concerns on this embodiment. It is a flowchart which shows an example of the 4th operation in detail of the color estimation by the server which concerns on this embodiment.

Hereinafter, a visible light communication system as an information processing system according to an embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a diagram showing a configuration of a visible light communication system. As shown in FIG. 1, the visible light communication system 1 is appropriately referred to as “mobile device 100” when the server 200 and mobile devices 100a, 100b, 100c (hereinafter, mobile devices 100a, 100b, 100c) are not limited. ), The server 200 and the like are included. The mobile device 100a includes a marker LED (Light Emitting Diode) 102a, the mobile device 100b includes an LED 102b, and the mobile device 100c includes an LED 102c (hereinafter, when each of the LEDs 102a, 102b, 102c is not limited). Is appropriately referred to as "LED 102"). The server 200 includes a photographing unit 201.

In the present embodiment, the LED 102 in the mobile device 100 transmits information by emitting light corresponding to the ID (Identification) of the mobile device 100, which is the information to be transmitted. On the other hand, in the server 200, the photographing unit 201 in the server 200 takes an image and acquires the ID of the mobile device 100 from the light image obtained by the image.

FIG. 2 is a diagram showing an example of the configuration of the mobile device 100. As shown in FIG. 2, the mobile device 100 includes an LED 102, a control unit 103, a memory 104, a communication unit 108, a drive unit 112, and a battery 150.

The control unit 103 is composed of, for example, a CPU (Central Processing Unit). The control unit 103 controls various functions included in the mobile device 100 by executing software processing according to a program stored in the memory 104.

The memory 104 is, for example, a RAM (Random Access Memory) or a ROM (Read Only Memory). The memory 104 stores various information (programs and the like) used for control and the like in the mobile device 100. The communication unit 108 is, for example, a LAN (Local Area Network) card. The communication unit 108 communicates with other communication devices. The battery 150 supplies each part with electric power necessary for operating the mobile device 100.

The control unit 103 includes a light emission control unit 124. The light emission control unit 124 determines a light emission pattern that emits a predetermined light including arbitrary information modulated by the temporal change of the hue emitted by the LED 102 according to the ID of the mobile device 100 or the like.

Further, the light emission control unit 124 outputs information on the light emission pattern corresponding to the ID or the like to the drive unit 112. The drive unit 112 generates a drive signal for temporally changing the hue and brightness of the light emitted by the LED 102 according to the information of the light emission pattern from the light emission control unit 124. The LED 102 emits light whose hue and brightness change with time according to the drive signal output from the drive unit 112. The emission colors are the three primary colors, and are any of red (R), green (G), and blue (B), which are the colors of the wavelength band used for color modulation in visible light communication.

FIG. 3 is a diagram showing an example of the configuration of the server 200. As shown in FIG. 3, the server 200 includes a photographing unit 201, a control unit 202, an image processing unit 204, a memory 205, an operation unit 206, a display unit 207, and a communication unit 208.

The photographing unit 201 includes the lens 203. The lens 203 is composed of a zoom lens or the like. The lens 203 moves by a zoom control operation from the operation unit 206 and a focusing control by the control unit 202. The movement of the lens 203 controls the shooting angle of view and the optical image taken by the shooting unit 201.

In the photographing unit 201, a light receiving surface is formed by a plurality of light receiving elements regularly arranged two-dimensionally. The light receiving element is, for example, a photographing device such as a CCD (Charge Coupled Device) or a CMOS (Complementary Metal Oxide Semiconductor). The photographing unit 201 photographs (receives light) an optical image received through the lens 203 at a shooting angle of view within a predetermined range based on a control signal from the control unit 202, and captures an image signal within the shooting angle of view. Convert to digital data to generate a frame. Further, the photographing unit 201 continuously performs photography and generation of frames in time, and outputs the continuous frames to the image processing unit 204.

A Bayer-arranged color filter is formed on the light receiving surface. As shown in FIG. 4, in the Bayer array color filter, the first row in which the red filter 302 and the green filter 304 are alternately arranged in the horizontal direction, and the blue filter 306 and the green filter 304 are alternately arranged in the horizontal direction. The second row arranged in the above is arranged alternately in the vertical direction.

Based on the control signal from the control unit 202, the image processing unit 204 outputs the frame (digital data) output from the photographing unit 201 to the control unit 202 as it is, and outputs the frame as a through image to the display unit 207. The image quality and image size are adjusted and output to the control unit 202 so as to be displayed. Further, when a control signal based on the recording instruction operation from the operation unit 206 is input, the image processing unit 204 is displayed within the shooting angle of view of the shooting unit 201 at the time of the recording instruction or on the display unit 207. It has a function of encoding and filing an optical image within the display range by a compression coding method such as JPEG (Joint Photographic Experts Group).

The control unit 202 is composed of, for example, a CPU. The control unit 202 controls various functions included in the server 200, such as performing the operations shown in FIGS. 7 to 11 to be described later, by executing software processing according to the program stored in the memory 205.

The memory 205 is, for example, a RAM or a ROM. The memory 205 stores various information (programs and the like) used for control and the like in the server 200. The communication unit 208 is, for example, a LAN card. The communication unit 208 communicates with an external communication device.

The operation unit 206 is composed of a numeric keypad, function keys, and the like, and is an interface used for inputting the operation contents of the user. The display unit 207 is composed of, for example, an LCD (Liquid Crystal Display), a PDP (Plasma Display Panel), an EL (Electro Luminescence) display, or the like. The display unit 207 displays an image according to the image signal output from the control unit 202.

The control unit 202 includes a position identification unit 232, an estimation unit 234, and a decoding unit 236. The position specifying unit 232 specifies the position of light emission in the LED 102 in the mobile device 100 on the light receiving surface. The position of light emission is the position of a region constituting a marker candidate composed of a predetermined range frame centered on the position of the marker.

The estimation unit 234 estimates whether the color of the region constituting the marker candidate is red (R), green (G), or blue (B). The control unit 202 restores information such as the ID of the mobile device 100, which is transmitted in response to the change in the color of the estimated region. Here, in the estimation unit 234, when the region on the light receiving surface is sufficiently larger than the red filter 302, the green filter 304, and the blue filter 306 of the color filter, the colors of the marker region are red (R) and green (R). It can be easily estimated whether it is G) or blue (B).

On the other hand, when the region constituting the marker candidate on the light receiving surface is smaller than the size of the debayer filter (n × m pixels), the estimation unit 234 may not be able to correctly estimate the color of the marker region as it is. is there. Here, the size of the debayer filter indicates the minimum size required to generate a color image, which is determined by the arrangement of the color filters. For example, as shown in FIGS. 5A to 5C, there are the positions of the red filter 302, the green filter 304, and the blue filter 306 of the color filter, and the case where the marker candidate region 310 that emits red light, which is a small region, exists. Think.

In FIG. 5A, the marker candidate region 310 is included in the red filter 302. In such a case, the marker candidate region 310 becomes red with high brightness. Therefore, the estimation unit 234 can determine that the marker candidate region 310 is red.

On the other hand, in FIGS. 5B and 5C, the marker candidate region 310 overlaps the green filter 304 and the blue filter 306. In such a case, the area 310 of the marker candidate has a low brightness, or has a color in which green and blue are mixed by the green filter 304 and the blue filter 306. In particular, since the Bayer array has a high proportion of the green filter 304, it is easily affected by the green filter 304 as shown in FIG.

Therefore, in the present embodiment, the estimation unit 234 estimates the color of the marker candidate region according to the hue circle shown in FIG. 6A and the color plane shown in FIG. 6B. As shown in FIG. 6A, a color is specified by hue, value, and saturation in the HSV color space, and is specified by a position on the color space of a cylinder. In the hue circle of FIG. 6A, the circumferential direction indicates the hue (H) (0 to 360), the height direction (vertical direction) indicates the brightness (V), and the radial direction indicates the saturation (S). Is shown. Further, as shown in the hue circle of FIG. 6A and the color plane of FIG. 6B, red (R), green (G), and blue (B) are classified according to the hue value. The hue value is any of 0 to 360 values. In the present embodiment, a hue value of 105 to 180 is a region determined to be green, a hue value of 180 to 255 is a region determined to be blue, and a hue value of 330 to 30 is a region determined to be red.

The decoding unit 236 controls to decode the bit data strings corresponding to each of the red (R), green (G), and blue (B) colors estimated by the estimation unit 234, and uses the information of the communication target in visible light communication. Acquire the ID and the like of a certain mobile device 100.

Hereinafter, the operation of color estimation will be described with reference to the flowchart. FIG. 7 is a flowchart showing an example of the color estimation operation by the server 200.

The position specifying unit 232 in the control unit 202 detects a region on the light receiving surface having a brightness equal to or higher than a predetermined brightness that can be regarded as a position of light emission in the LED 102 in the mobile device 100 as a region configured as a marker candidate (step S101).

Next, the estimation unit 234 determines whether or not the area of the marker candidate is equal to or smaller than the size of the debayer filter (step S102). In the present embodiment, when the marker candidate area is smaller than the size of the debayer filter, the color of the marker candidate area is biased to any of the red filter 302, the green filter 304, and the blue filter 306 of the color filter. Since there is a high possibility that it will be identified, it is considered that the color of the marker candidate region cannot be accurately determined by ordinary color determination.

When the marker candidate region exceeds the size of the debayer filter (step S102; NO), the color estimation unit 234 performs normal color estimation for the marker candidate region (step S103). That is, the color estimation unit 234 estimates the color of the marker candidate region based on the red (R), green (G), and blue (B) values (RGB values).

On the other hand, when the area of the marker candidate is equal to or smaller than the size of the debayer filter (step S102; YES), the color estimation unit 234 performs color estimation in consideration of the Bayer arrangement of the color filter on the light receiving surface (step S104). The details of the operation in step S104 will be described below.

FIG. 8 shows an example of a detailed first operation of color estimation by the server 200, FIG. 9 shows an example of a second operation, FIG. 10 shows an example of a third operation, and FIG. 11 shows an example of a fourth operation. It is a flowchart.

First, as shown in FIG. 8, the estimation unit 234 calculates the average value (RGB average value) of the red (R), green (G), and blue (B) values of all the pixels included in the marker candidate region. Then, by converting the pixel format, the RGB average value is converted into the average value of hue H (H average value) of all pixels included in the marker candidate area, the average value of saturation S (S average value), and the average value of saturation S. It is converted into an HSV average value composed of an average value of lightness V (V average value) (step S201).

Next, the estimation unit 234 determines whether or not the H average value <30 or the H average value> 330 (step S202). The H average value <30 or the H average value> 330 means that the region estimated to be red is extracted as a marker candidate. When the H average value <30 or the H average value> 330 (step S202; YES), the estimation unit 234 determines whether or not the S average value> 10 (step S203). The S average value> 10 is intended to extract a region having a high saturation S as a marker candidate. When the S average value> 10 (step S203; YES), the estimation unit 234 determines whether or not the V average value> 10 (step S204). The V average value> 10 is intended to extract a region having a high brightness V as a marker candidate.

When the V average value> 10 (step S204; YES), the estimation unit 234 is estimated to be red at the same location as this time up to the frame before the frame of the image currently the target of color estimation. It is determined whether or not there is a region of the marker candidate (step S206). For example, hue H, saturation S, brightness V, and the like, which are the results of color estimation of the marker candidate area for each frame, are stored in the memory 205.

If there is a marker candidate region estimated to be red up to the previous frame (step S206; YES), the estimation unit 234 sets the brightness correction value to the marker candidate region estimated to be red up to the previous frame. It is set to the maximum brightness within (step S207). On the other hand, if there is no marker candidate region estimated to be red up to the previous frame (step S206; NO), the estimation unit 234 sets the brightness correction value to 32 (step S208). Here, the brightness correction value 32 indicates a value (emission luminance value) estimated when the marker LED 102 emits light.

After the brightness correction value is set in step S207 or step S208, the estimation unit 234 determines whether or not the V average value of the marker candidate region is less than the brightness correction value (step S209). When the V average value of the marker candidate area is less than the brightness correction value (step S209; YES), the estimation unit 234 sets the V average value of the marker candidate area to the brightness correction value set in step S207 or step S208. Fix it. As a result, among the HSV average values, the V average value is corrected to a larger value. Next, the estimation unit 234 converts the corrected HSV average value into an RGB average value. Further, the estimation unit 234 sets RGB average values for all pixels in the marker candidate area, stores the HSV average value and the RGB average value in the memory 205, and estimates that the marker candidate area is red (). Step S210).

On the other hand, when the V average value of the marker candidate region is not less than the brightness correction value (step S209; NO), the estimation unit 234 converts the HSV average value into the RGB average value by converting the pixel format. Further, the estimation unit 234 sets RGB average values for all pixels in the marker candidate area, stores the HSV average value and the RGB average value in the memory 205, and estimates that the marker candidate area is red (). Step S211).

If the S mean value is not> 10 (step S203; NO) or the V mean value is not> 10 (step S204; NO), the estimation unit 234 estimates that the marker candidate region is not a marker (step). S212). Further, when the H average value <30 or the H average value> 330 is not satisfied (step S202; NO), the operation proceeds to the operation shown in FIG.

The estimation unit 234 determines the hue H for all the pixels included in the marker candidate region (in this case, the size of the maximum debayer filter), and determines the number of pixels in the region A where the hue H is 180 <H <255. , The number of pixels in the B region where the hue H is 105 <H ≦ 180 is specified (step S301). 180 <H <255 indicates a hue value corresponding to blue, and 105 <H ≦ 180 indicates a hue value corresponding to green.

Next, the estimation unit 234 determines whether or not the number of pixels in each of the A region and the B region is 1/3 or more of the number of pixels in the total region of the marker candidate (step S302). When the number of pixels in the A region and the B region is 1/3 or more of the marker candidate region (step S302; YES), the estimation unit 234 determines the average value (S average) of the saturation S in each of the A region and the B region. (Value) and the average value of brightness V (V average value) are calculated, and S average value> 10 and V average value> 10 in the A region, and S average value> 10 and V average value> 10 in the B region. Whether or not it is determined (step S303).

When the average value of saturation S is S> 10 and the average value of brightness V is> 10 in the A region and the B region (step S303; YES), the estimation unit 234 then determines the hue of all the pixels included in the A region. The HSV mean value (HSV mean value in the A region) including the mean value of H (H mean value), the mean value of saturation S (S mean value), and the mean value of lightness V (V mean value) is calculated. Further, the estimation unit 234 converts the HSV average value in the A region into the RGB average value in the A region by converting the pixel format (step S305).

Further, the estimation unit 234 sets the RGB average value of the A region for all the pixels of the marker candidate region, stores the HSV average value and the RGB average value in the memory 205, and estimates that the marker candidate region is blue. (Step S306).

On the other hand, when the S average value> 10 and the V average value> 10 in the A region and the B region (step S303; NO), the estimation unit 234 estimates that the marker candidate region is not a marker (step S307). Further, when the number of pixels in the marker candidate region of either the A region or the B region is not more than 1/3 but less than 1/3 of the total number of pixels (step S302; NO), the operation proceeds to the operation shown in FIG. ..

After step S308, the operation proceeds to FIG. 10, and the estimation unit 234 has 180 <H average value <for the H average value included in the HSV average value for the marker candidate region acquired in step S201 of FIG. It is determined whether or not it is 255 (step S401).

When 180 <H mean value <255 (step S401; YES), whether the estimation unit 234 has S mean value> 10 and V mean value> 10 for the S mean value and V mean value of the marker candidate region. It is determined whether or not (step S402).

When the S average value> 10 and the V average value> 10 (step S402; YES), the estimation unit 234 then converts the HSV average value into RGB averages for the marker candidate area by converting the pixel format. Convert to a value. Further, the estimation unit 234 sets RGB average values for all pixels in the marker candidate area, stores the HSV average value and the RGB average value in the memory 205, and estimates that the marker candidate area is blue (). Step S404).

On the other hand, when the S average value> 10 and the V average value> 10 are not (step S402; NO), the estimation unit 234 estimates that the marker candidate region is not a marker (step S405). If 180 <H average value <255 is not satisfied (step S401; NO), the operation proceeds to the operation shown in FIG.

The estimation unit 234 determines whether or not 105 <H average value ≤ 180 with respect to the H average value included in the HSV average value for the marker candidate region acquired in step S201 of FIG. 8 (step S501). ..

When 105 <H mean value ≤ 180 (step S501; YES), whether the estimation unit 234 has S mean value> 10 and V mean value> 10 for the S mean value and V mean value of the marker candidate region. Whether or not it is determined (step S502).

When the S average value> 10 and the V average value> 10 (step S502; YES), the estimation unit 234 then converts the HSV average value into RGB averages for the marker candidate area by converting the pixel format. Convert to a value. Further, the estimation unit 234 sets RGB average values for all pixels in the marker candidate area, stores the HSV average value and the RGB average value in the memory 205, and estimates that the marker candidate area is green (). Step S504).

On the other hand, when 105 <H mean value ≤ 180 (step S501; NO), or when S mean value> 10 and V mean value> 10 (step S502; NO), the estimation unit 234 has a marker candidate region. It is estimated that it is not a marker (step S505).

As described above, in the present embodiment, the mobile device 100 causes the LED 102, which is a marker, to emit light according to its own ID and the like. On the other hand, the server 200 detects the position of the marker region on the light receiving surface, estimates the color of the marker region, and based on the estimated color change of the marker region, the decoding unit 236 uses the mobile device. Decrypt into information such as 100 IDs.

However, if the marker area on the light receiving surface is smaller than the predetermined range of the color filter (for example, the red filter 302, the green filter 304, and the blue filter 306), the color of the marker area is correctly estimated as it is. It may not be possible. In this case, in the present embodiment, unlike the normal color estimation process, the server 200 considers the Bayer arrangement of the color filter and considers the average of the hue H, saturation S, and brightness V of the pixels in the marker candidate region. The color of the marker candidate region is estimated using the HSV average value which is the value. Further, the server 200 converts the HSV average value into an RGB average value by appropriately modifying the HSV average value and converting the pixel format, and sets the RGB average value in all the pixels in the marker area. As a result, the correct color can be estimated regardless of the size of the marker area.

The present invention is not limited to the description and drawings of the above-described embodiment, and it is possible to appropriately modify the above-described embodiments and drawings.

For example, in the above-described embodiment, as shown in FIG. 9, when each of the A region where 180 <H <255 and the B region where 105 <H ≦ 180 exists in the marker candidate region by 1/3 or more. The area of marker candidates was estimated to be blue. However, the present invention is not limited to this, and depending on the characteristics of the color filter of the light receiving element and the processing such as white balance, it may be determined to be green or may be determined to be other than blue and green.

For example, in the above-described embodiment, the information to be transmitted by the mobile device 100 is the ID of the mobile device 100, but the information is not limited to this, and the position information of the mobile device 100, a failure caused in the mobile device 100, or the like. It may be the information of.

Further, in the above-described embodiment, the case where visible light of red, green, and blue is used for communication has been described, but visible light of other colors may be used. Further, the light emission is not limited to those whose hue and brightness change with time, and may be those whose saturation changes with time.

Further, the light source in the mobile device 100 is not limited to the LED. For example, a light source may be configured in a part of an LCD, a PDP, an EL display, or the like that constitutes a display device.

Further, the server 200 may be any device as long as it is provided with a photographing unit and can photograph.

Further, in the above embodiment, the program to be executed is a computer-readable recording such as a flexible disc, a CD-ROM (Compact Disc Read-Only Memory), a DVD (Digital Versatile Disc), or an MO (Magneto-Optical disc). A system that executes the above-mentioned processing may be configured by storing the program in a medium, distributing the program, and installing the program.

Further, the program may be stored in a disk device or the like of a predetermined server on a network such as the Internet, and may be superimposed on a carrier wave and downloaded.

If the above functions are shared by the OS (Operating System) or realized by collaboration between the OS and the application, only the parts other than the OS may be stored in the medium and distributed. Well, you may also download it.

Although the preferred embodiment of the present invention has been described above, the present invention is not limited to the specific embodiment, and the present invention includes the invention described in the claims and the equivalent range thereof. Is done. Hereinafter, the inventions described in the claims of the original application of the present application will be added.

(Appendix 1)
A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged, and
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light, and the estimation means.
A color estimation device characterized by comprising.

(Appendix 2)
By correcting the brightness of the light at the position of the received light receiving element after the estimation by the estimation means to be further brightened, it is controlled so that the color to which the light at the position of the light receiving element belongs can be easily specified. The color estimation device according to Appendix 1, further comprising a control means for the device.

(Appendix 3)
The color estimation device according to Appendix 1 or 2, wherein the case other than the position where the color to which the light belongs can be specified includes the case where the received light receiving elements are at a plurality of positions adjacent to each other. ..

(Appendix 4)
When there are a plurality of light receiving elements received and the positions are adjacent to each other, the estimation means determines that the color to which the light belongs includes a plurality of colors, and further, information on a color space including a hue circle as a parameter. The color estimation device according to Appendix 3, wherein the color to which the light belongs is estimated based on the above.

(Appendix 5)
Further provided with a color filter in which transmission members that transmit light in the wavelength band corresponding to each of the three primary colors are regularly arranged so as to correspond to each position of the plurality of light receiving elements arranged.
The color estimation device according to any one of Supplementary note 1 to 4, wherein the color to which the light belongs is specified based on the type of the wavelength band of the light transmitted by the transmitting member.

(Appendix 6)
The description according to any one of Supplementary note 1 to 5, further comprising a decoding means for decoding the color estimated by the estimation means into information used in a communication system that modulates the information into a color and performs communication. Color estimator.

(Appendix 7)
A light receiving step in which light is received by a plurality of arranged light receiving elements in which the color to which the received light belongs is specified from the light receiving position.
When the position of the light receiving element received in the light receiving step is other than the position where the color to which the received light belongs can be specified, the estimation step of estimating the color to which the light belongs based on the brightness of the received light. When,
A color estimation method characterized by including.

(Appendix 8)
Computer,
A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged.
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light.
A program characterized by functioning as.

1 ... Visible light communication system, 100, 100a, 100b, 100c ... Mobile device, 102, 102a, 102b, 102c ... LED, 103, 202 ... Control unit, 104, 205 ... Memory, 108, 208 ... Communication unit, 112 ... Drive unit, 124 ... Light emission control unit, 150 ... Battery, 200 ... Server, 201 ... Imaging unit, 203 ... Lens, 204 ... Image processing unit, 206 ... Operation unit, 207 ... Display unit, 232 ... Position identification unit, 234 ... Estimating unit, 236 ... Decoding unit, 302 ... Red filter, 304 ... Green filter, 306 ... Blue filter, 310 ... Marker candidate area

Claims (8)

A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged, and
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light, and the estimation means.
A color estimation device characterized by comprising. By correcting the brightness of the light at the position of the received light receiving element after the estimation by the estimation means to be further brightened, it is controlled so that the color to which the light at the position of the light receiving element belongs can be easily specified. The color estimation device according to claim 1, further comprising a control means for performing the same. The color estimation according to claim 1 or 2, wherein the case other than the position where the color to which the light belongs can be specified includes the case where the received light receiving elements are at a plurality of positions adjacent to each other. apparatus. When there are a plurality of light receiving elements received and the positions are adjacent to each other, the estimation means determines that the color to which the light belongs includes a plurality of colors, and further, information on a color space including a hue circle as a parameter. The color estimation device according to claim 3, wherein the color to which the light belongs is estimated based on the above. Further provided with a color filter in which transmission members that transmit light in the wavelength band corresponding to each of the three primary colors are regularly arranged so as to correspond to each position of the plurality of light receiving elements arranged.
The color estimation device according to any one of claims 1 to 4, wherein the color to which the light belongs is specified based on the type of the wavelength band of the light transmitted by the transmitting member. The invention according to any one of claims 1 to 5, further comprising a decoding means for decoding the color estimated by the estimation means into information used in a communication system that modulates the information into a color and performs communication. The color estimation device described. A light receiving step in which light is received by a plurality of arranged light receiving elements in which the color to which the received light belongs is specified from the light receiving position.
When the position of the light receiving element received in the light receiving step is other than the position where the color to which the received light belongs can be specified, the estimation step of estimating the color to which the light belongs based on the brightness of the received light. When,
A color estimation method characterized by including. Computer,
A light receiving means in which a plurality of light receiving elements for which the color to which the received light belongs is specified from the light receiving position are arranged.
When the position of the received light receiving element is other than the position where the color to which the received light belongs can be specified, the estimation means for estimating the color to which the light belongs based on the brightness of the received light.
A program characterized by functioning as.

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