Abstract: An image processing device includes: a computation unit that calculates signal values of a plurality of second colors by using signal values of a plurality of first colors obtained from an image sensor; a saturation determiner that determines whether or not at least one of the plurality of first colors is saturated by using the signal values of the plurality of first colors; and a corrector that corrects at least one signal value of the plurality of second colors and outputs a corrected signal value, when the saturation determiner determines that the at least one of the plurality of first colors is saturated.

Abstract: A video receiving apparatus includes a receiver, a first display, an extractor, an information forming controller, a number-of-viewer detector, a communicator, and a display controller, leading to appropriate display of configuration information and associated information of a video content. The extractor extracts a partial content from the video content. The information forming controller forms the configuration information from the partial content. The number-of-viewer detector detects the number of viewers present within a predetermined area. The communicator receives an identifier transmitted from a mobile terminal having a second display. The display controller can selectively display the configuration information on the second display of the mobile terminal identified by the identifier, and displays the configuration information on at least one of the first and second displays based on the number of the viewers and the number of the identifiers.

Abstract: A moving object detection device includes: an image capturing unit with which a vehicle is equipped, and which is configured to obtain a captured image by capturing a view in a travel direction of the vehicle; a calculation unit configured to calculate, for each of first regions which are unit regions of the captured image, a first motion vector indicating movement of an image in the first region; an estimation unit configured to estimate, for each of one or more second regions which are unit regions each including first regions, a second motion vector using first motion vectors, the second motion vector indicating movement of a stationary object which has occurred in the captured image due to the vehicle traveling; and a detection unit configured to detect a moving object present in the travel direction, based on a difference between a first motion vector and a second motion vector.

Abstract: A moving object detection device includes: an image capturing unit with which a vehicle is equipped, and which is configured to obtain captured images by capturing views in a travel direction of the vehicle; a setting unit configured to set, for each of frames that are the captured images, a movement vanishing point at which movement of a stationary object in the captured images due to the vehicle traveling does not occur; a calculation unit configured to calculate, for each of unit regions of the captured images, a first motion vector indicating movement of an image in the unit region; and a detection unit configured to detect a moving object present in the travel direction, based on the movement vanishing points set by the setting unit and the first motion vectors calculated by the calculation unit.

Abstract: A video receiving apparatus includes: a receiving unit which receives video content; an extracting unit which extracts a partial content which is a portion of the video content by analyzing the video content, to obtain a feature of the partial content item, the feature being characteristic within the video content; an information generating unit which generates a composition information item indicating the partial content item and including at least one of a character and an image; a priority setting unit which sets a priority of the composition information item based on the feature obtained from the partial content item, the priority indicating a degree of association between the video content and the composition information item; and a display control unit which controls display of the composition information item on a display screen according to the priority of the composition information item set by the priority setting unit.

Abstract: A video receiving apparatus includes a receiver, a first display, an extractor, an information forming controller, a number-of-viewer detector, a communicator, and a display controller, leading to appropriate display of configuration information and associated information of a video content. The extractor extracts a partial content from the video content. The information forming controller forms the configuration information from the partial content. The number-of-viewer detector detects the number of viewers present within a predetermined area. The communicator receives an identifier transmitted from a mobile terminal having a second display. The display controller can selectively display the configuration information on the second display of the mobile terminal identified by the identifier, and displays the configuration information on at least one of the first and second displays based on the number of the viewers and the number of the identifiers.

Abstract: A video receiving apparatus includes: a receiving unit which receives video content; an extracting unit which extracts a partial content which is a portion of the video content by analyzing the video content, to obtain a feature of the partial content item, the feature being characteristic within the video content; an information generating unit which generates a composition information item indicating the partial content item and including at least one of a character and an image; a priority setting unit which sets a priority of the composition information item based on the feature obtained from the partial content item, the priority indicating a degree of association between the video content and the composition information item; and a display control unit which controls display of the composition information item on a display screen according to the priority of the composition information item set by the priority setting unit.

Abstract: An image processing method capable of appropriately increasing a resolution of an input image in which an edge direction that is a direction along an edge included in the input image is identified; a shape of an application region that is a region including at least a part of the edge is determined according to the identified edge direction; an image similar to an image within the application region having the determined shape is searched for; and an output image is generated by performing a resolution conversion process on the input image using the similar image so that the input image includes high-frequency components.

Abstract: Included are (a) performing processes on second training data items stored in a training database to generate third training data items each obtained through a corresponding one of the processes, (b) selecting, from among the third training data items generated in step (a), a selection data item having a highest similarity to a feature data item of the input image, (c) generating a high-frequency data item by: determining (i) the second training data item used in generating the selection data item and (ii) a first process performed on the second training data item to generate the selection data item; and performing the first process on the first training data item that is paired with the determined second training data item; and (d) generating an output image by adding an image indicated by the high-frequency data item to the input image.

Abstract: A super-resolution processor in one aspect of the present invention first estimates a motion between an input image and a delayed input image which is obtained by delaying the input image by some frames, and determines a motion vector in super-resolution processing of adding a high frequency component using a learning database. Subsequently, the super-resolution processor updates an evaluation value evaluated when a patch is extracted in a target block of the input image, so that a learned high frequency patch is likely to be selected, the learned high frequency patch being the same as the learned high frequency patch used for super-resolution processing performed at the position motion-compensated by the motion vector in the frame at the same time as the time of the delayed input image.

Abstract: A super-resolution processor includes an N enlargement unit that generates an N-enlarged image by enlarging the input image by a factor N; an M enlargement unit that generates an M-enlarged image by enlarging the input image by a factor M; and a high-pass filter unit that extracts a high-frequency component of the M-enlarged image, as an M-enlarged high-frequency image. Additionally, a patch extraction unit extracts an estimated patch of a predetermined size from the M-enlarged high-frequency image, the estimated patch being a part of the M-enlarged high-frequency image; and an addition unit adds the estimated patch to a processing target block of the predetermined size in the N-enlarged image, to generate the output image, where M is smaller than N.

Abstract: An image processor generates an output image of a resolution higher than a resolution of an input image, using the input image. The image processor includes: an obtaining unit configured to obtain an edge strength of one of the input image and an image corresponding to the input image; a calculating unit configured to calculate, based on the edge strength, J that is a count of data items to be used for generating a synthesized image to be used in generating the output image, where J is an integer equal to or larger than 2; and a generating unit configured to generate the synthesized image by synthesizing J data items, and generate the output image using the synthesized image.

Abstract: A super-resolution processor in one aspect of the present invention first estimates a motion between an input image and a delayed input image which is obtained by delaying the input image by some frames, and determines a motion vector in super-resolution processing of adding a high frequency component using a learning database. Subsequently, the super-resolution processor updates an evaluation value evaluated when a patch is extracted in a target block of the input image, so that a learned high frequency patch is likely to be selected, the learned high frequency patch being the same as the learned high frequency patch used for super-resolution processing performed at the position motion-compensated by the motion vector in the frame at the same time as the time of the delayed input image.

Abstract: In the image processing method capable of appropriately increasing a resolution of an input image: an edge direction that is a direction along an edge included in the input image is identified; a shape of an application region that is a region including at least a part of the edge is determined according to the identified edge direction; an image similar to an image within the application region having the determined shape is searched for; and an output image is generated by performing a resolution conversion process on the input image using the similar image so that the input image includes high-frequency components.

Abstract: An image processor generates an output image of a resolution higher than a resolution of an input image, using the input image. The image processor includes: an obtaining unit configured to obtain an edge strength of one of the input image and an image corresponding to the input image; a calculating unit configured to calculate, based on the edge strength, J that is a count of data items to be used for generating a synthesized image to be used in generating the output image, where J is an integer equal to or larger than 2; and a generating unit configured to generate the synthesized image by synthesizing J data items, and generate the output image using the synthesized image.

Abstract: A super-resolution processor according to the present invention includes: an N enlargement unit that generates an N-enlarged image by enlarging the input image by a factor N; an M enlargement unit that generates an M-enlarged image by enlarging the input image by a factor M; a high-pass filter unit that extracts a high-frequency component of the M-enlarged image, as an M-enlarged high-frequency image; a patch extraction unit that extracts an estimated patch of a predetermined size from the M-enlarged high-frequency image, the estimated patch being a part of the M-enlarged high-frequency image; and an addition unit that adds the estimated patch to a processing target block of the predetermined size in the N-enlarged image, to generate the output image, where M is smaller than N.

Abstract: The prevent invention can prevent roughness in an image and reduce contouring and coding distortion in the image. The image processing apparatus according to the present invention reduces distortion in an input image, and includes: a masking signal generating unit 101 that generates a masking signal for reducing the distortion; and a masking signal adding unit 102 that adds the masking signal to the input image, wherein the masking signal generating unit 101 includes: a level difference processing unit 105 that smoothes a level difference between pixel values of pixels in the input image; a difference calculating unit 106 that calculates a difference between the input image and an image which has been processed by the level difference processing unit 105; and a random number setting unit 108 that sets an amplitude, creates a is random number having the set amplitude, the amplitude decreasing, as the difference approaches a predetermined value.

Abstract: The prevent invention can prevent roughness in an image and reduce contouring and coding distortion in the image. The image processing apparatus according to the present invention reduces distortion in an input image, and includes: a masking signal generating unit 101 that generates a masking signal for reducing the distortion; and a masking signal adding unit 102 that adds the masking signal to the input image, wherein the masking signal generating unit 101 includes: a level difference processing unit 105 that smoothes a level difference between pixel values of pixels in the input image; a difference calculating unit 106 that calculates a difference between the input image and an image which has been processed by the level difference processing unit 105; and a random number setting unit 108 that sets an amplitude, creates a is random number having the set amplitude, the amplitude decreasing, as the difference approaches a predetermined value.

Abstract: An oxidizer coated with inorganic particles is provided. A method for reducing the mechanical energy sensitivity of an oxidizer is also provided, which comprises coating the oxidizer with inorganic particles. Further, a combustible composition comprising the oxidizer coated with inorganic particles and a fuel as well as a gas generator comprising the oxidizer coated with inorganic particles and a fuel is provided.

Abstract: A webbed bevel gear in which webs are formed of a minimal size so that the gear can be downsized, while also improving the mechanical strength of the gear. The webbed bevel gear is made so as to be capable of avoiding losses from the webs and so that the strength of the dedendum can be maintained by the webs, while the strength and the wear resistance of the dedendum and the tooth surface is further improved. The webbed bevel gears (2, 2a-2c) are constructed as follows: each of the webs is formed with a concave curved surface defined by the base cone so that it can connect the two adjacent teeth at the dedendum between the teeth at the radial end of the gear, the value obtained by dividing the height (h) of the webs in relation to the module (m) of the gear meets the equation 0.2.ltoreq.h/m.ltoreq.0.6, and the value obtained by dividing the width (w) of the webs along the generating line of the base cone by the width (W) of the gear along the generating line of the base pitch cone meets the equation 0.04.