Abstract: An image monitoring device according to the present disclosure includes a memory and one or more hardware processors coupled to the memory and configured to function as an acquisition unit and a notification unit. The acquisition unit acquires an image of an outside of a vehicle that is captured by an imaging unit. In a case where a given condition is satisfied in the image, the notification unit notifies that dirt adheres to a lens of the imaging unit. Then, in a case where a flat region being a region, for which a difference in luminance value among pixels included in the image is small and which has flat luminance values, gets narrower in a width direction of the region as getting farther from the vehicle in the image, the notification unit does not notify that the dirt adheres to a lens of the imaging unit.

Abstract: An image monitoring device includes a hardware processor. An image of the outside of a vehicle is captured by a camera. The hardware processor notifies that dirt adheres to a lens of the camera when a ratio of a smooth region in the image is more than a threshold. In the smooth region, differences in luminance value between pixels are small. The hardware processor does not notify that dirt adheres to the lens of the camera when: a ratio of the smooth region in a sky region in the image is more than a threshold, a ratio of the smooth region in a ground region in the image is more than a threshold, and a difference between an average of luminance values of the smooth region in the sky region and an average of luminance values of the smooth region in the ground region is more than a threshold.

Abstract: A monitor ECU 10 performs a support control based on a camera image photographed through a protection window by a camera 21. The ECU determines that a protection window state is an entire dirt state, when a first area index value calculated based on edge strength of pixels in a first area including a center of the camera image is smaller than a threshold dirt value. The ECU determines that the entire dirt state ends, when at least one of a first condition or a second condition is established. The first condition is established when the first area index value is equal to or greater than a first threshold end value. The second condition is established when a second area index value calculated based on the edge strength in a second area except the first area is equal to or greater than a second threshold end value.

Abstract: An image monitoring device includes a luminance calculator and a darkness determiner. The luminance calculator calculates a first average luminance value of an illuminated region which is illuminated with a lamp and a second average luminance value of a non-illuminated region which is not illuminated with the lamp. The illuminated region and the non-illuminated region are included in a video signal generated by capturing with a lens. The darkness determiner determines whether or not the video signal is captured in dark by comparing a difference between the first average luminance value and the second average luminance value with a first threshold value.

Abstract: An image monitoring device includes a maximum value and minimum value calculator, a small-luminance-difference determiner, a small-luminance-difference-block counter, and a dirt adherence determiner. The maximum value and minimum value calculator calculates, for each of a plurality of blocks set in one frame of a video signal obtained through a lens, a maximum luminance value and a minimum luminance value of a plurality of pixels forming each of the plurality of blocks. The small-luminance-difference determiner determines whether or not each of the blocks has a small luminance difference, by comparing a difference between the maximum luminance value and the minimum luminance value with a first threshold. The small-luminance-difference-block counter counts a number of blocks having the small luminance difference in the one frame. The dirt adherence determiner determines whether or not dirt is adherent to the lens, based on the number of blocks having the small luminance difference.

Abstract: An image monitoring device includes a luminance calculator and a darkness determiner. The luminance calculator calculates a first average luminance value of an illuminated region which is illuminated with a lamp and a second average luminance value of a non-illuminated region which is not illuminated with the lamp. The illuminated region and the non-illuminated region are included in a video signal generated by capturing with a lens. The darkness determiner determines whether or not the video signal is captured in dark by comparing a difference between the first average luminance value and the second average luminance value with a first threshold value.

Abstract: An image monitoring device includes a maximum value and minimum value calculator, a small-luminance-difference determiner, a small-luminance-difference-block counter, and a dirt adherence determiner. The maximum value and minimum value calculator calculates, for each of a plurality of blocks set in one frame of a video signal obtained through a lens, a maximum luminance value and a minimum luminance value of a plurality of pixels forming each of the plurality of blocks. The small-luminance-difference determiner determines whether or not each of the blocks has a small luminance difference, by comparing a difference between the maximum luminance value and the minimum luminance value with a first threshold. The small-luminance-difference-block counter counts a number of blocks having the small luminance difference in the one frame. The dirt adherence determiner determines whether or not dirt is adherent to the lens, based on the number of blocks having the small luminance difference.

Abstract: A monitor ECU 10 performs a support control based on a camera image photographed through a protection window by a camera 21. The ECU determines that a protection window state is an entire dirt state, when a first area index value calculated based on edge strength of pixels in a first area including a center of the camera image is smaller than a threshold dirt value. The ECU determines that the entire dirt state ends, when at least one of a first condition or a second condition is established. The first condition is established when the first area index value is equal to or greater than a first threshold end value. The second condition is established when a second area index value calculated based on the edge strength in a second area except the first area is equal to or greater than a second threshold end value.

Abstract: Of the output signals of a solid state image sensor 101, only the signals in a vertical OB line period are selected by an OB line selector 105. A level adjuster 107 adjusts the level of a past vertical OB line signal read out from the line memory 106 during a first vertical OB line period of a frame where the amplification factor of an amplifier 102 has changed, and outputs the same. A subtractor 109 subtracts the signal whose level has been adjusted from a current vertical OB line signal. A multiplier 111 multiplies, via a selector B 111, the signal after subtraction by a cyclic coefficient K1H for the first vertical OB line period of the frame where the amplification factor has changed. A subtractor 112 subtracts the multiplication result from the current vertical OB line signal, and rewrites the subtraction result to the line memory 106.

Abstract: Of the output signals of a solid state image sensor 101, only the signals in a vertical OB line period are selected by an OB line selector 105. A level adjuster 107 adjusts the level of a past vertical OB line signal read out from the line memory 106 during a first vertical OB line period of a frame where the amplification factor of an amplifier 102 has changed, and outputs the same. A subtractor 109 subtracts the signal whose level has been adjusted from a current vertical OB line signal. A multiplier 111 multiplies, via a selector B 111, the signal after subtraction by a cyclic coefficient K1H for the first vertical OB line period of the frame where the amplification factor has changed. A subtractor 112 subtracts the multiplication result from the current vertical OB line signal, and rewrites the subtraction result to the line memory 106.

Abstract: An image processing apparatus (1) performs matching processing with respect to a first video signal and a second video signal obtained from two imaging devices (3). The matching processing minimizes a disparity amount between the first video signal and the second video signal. A third video signal obtained from one of the imaging devices (3) is shifted by a minimum disparity amount obtained as a result of the matching processing, and is added to a fourth video signal obtained from the other imaging device (3). Non-linear processing and/or contour correction processing is performed on the video signal obtained by adding the two video signals, and a monitoring image is generated. Thus, an image processing apparatus is provided that can obtain a monitoring image of high image quality by adding two video signals and utilizing the resulting video signal as a monitoring image.

Abstract: An imaging device (100) includes: an imaging element (103) obtained by repeatedly arranging a pixel W for entire wavelength band, a W-R pixel for R, a W-G pixel for G, and a W-B pixel for B; a filter (102) configured such that a portion corresponding to the pixel W allows the entire wavelength band of a wavelength band within a certain range to pass and portions corresponding to the W-R pixel, the W-G pixel, and the W-B pixel reflect wavelength bands of corresponding colors, respectively; a reflection amount calculating unit (113) for calculating signal values of R, G, and B by subtracting a value of an image reading signal of each of the W-R pixel, the W-G pixel, and the W-B pixel from a value of an image reading signal of the pixel W.

Abstract: An image processing apparatus (1) performs matching processing with respect to a first video signal and a second video signal obtained from two imaging devices (3). The matching processing minimizes a disparity amount between the first video signal and the second video signal. A third video signal obtained from one of the imaging devices (3) is shifted by a minimum disparity amount obtained as a result of the matching processing, and is added to a fourth video signal obtained from the other imaging device (3). Non-linear processing and/or contour correction processing is performed on the video signal obtained by adding the two video signals, and a monitoring image is generated. Thus, an image processing apparatus is provided that can obtain a monitoring image of high image quality by adding two video signals and utilizing the resulting video signal as a monitoring image.

Abstract: An imaging device (100) includes: an imaging element (103) obtained by repeatedly arranging a pixel W for entire wavelength band, a W-R pixel for R, a W-G pixel for G, and a W-B pixel for B; a filter (102) configured such that a portion corresponding to the pixel W allows the entire wavelength band of a wavelength band within a certain range to pass and portions corresponding to the W-R pixel, the W-G pixel, and the W-B pixel reflect wavelength bands of corresponding colors, respectively; a reflection amount calculating unit (113) for calculating signal values of R, G, and B by subtracting a value of an image reading signal of each of the W-R pixel, the W-G pixel, and the W-B pixel from a value of an image reading signal of the pixel W.

Abstract: An imaging device (1) includes a camera unit (3) that captures images of the same object, respectively, using two optical systems, a face part detection unit (9) that detects a plurality of face parts composing a face included in each of the images captured by the camera unit (3), a face part luminance calculation unit (10) that calculates luminance of the detected plurality of face parts, and an exposure control value determination unit (12) that determines an exposure control value of the camera unit (3) based on the luminance of the plurality of face parts. A distance measurement unit (17) in the imaging device (1) measures distances to the face parts based on the images captured by the camera unit (3) using the exposure control value. Thus, the imaging device (1) can measure the distances to the face parts with high accuracy.

Abstract: A fingerprint ID device includes input means for receiving a fingerprint image, center detecting means for detecting a center point of a fingerprint from the fingerprint image, area extracting means for extracting a given area, which surrounds the center point, as a center image of the fingerprint, and checking means for checking the center image against fingerprint images registered in advance. This structure allows checking a fingerprint by using the center image which includes a large number of characteristics. Thus even if the finger deviates from a right position, the fingerprint can be identified with accuracy, and at the same time, a memory capacity of the device can be substantially reduced.

Abstract: An image processing apparatus for processing a plurality of images recorded on a record medium comprising: a user interface unit for allowing a user to specify a plurality of the images to group the specified images into an image group and to designate each of the images as an image identifier; a grouping unit for designating each of the image groups as a group identifier to produce group image information including the image identifiers of the grouped images for each of the group identifiers of the image groups; a list creating unit for creating an image list listing the image identifiers and the group identifiers; and a recording unit for recording the image list and the group image information on the record medium.

Abstract: A video camera having a plurality of solid-state image sensors in an imaging part uses two kinds of vertical drive signals different in the number of vertical transfer operations, to produce a time lag equal to one horizontal period between the output signals of the solid-state image sensors without changing the optical positional relation between the solid-state image sensors, thereby delaying the red and blue signals with respect to the green signal by one horizontal period based on the application of the two kinds of vertical drive signals.

Abstract: A moving picture coding apparatus is disclosed in which when an input image and the image of the preceding image are correlated to each other, the inter-frame coding is effected, while when no correlation exists, the intra-frame coding is carried out for packet switched networks. The moving picture coding apparatus is comprised of a device for refreshing blocks in a frame at regular intervals of time, and when the number of cells generated by coding during a predetermined past time is larger than a threshold level set in advance, the number of blocks refreshed is reduced, thereby preventing the image information more than a maximum transmission capacity of the packet switched networks from being generated.