Abstract: A transfer guidance system includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute the instructions to estimate operation time schedules of a plurality of transportation systems based on track records of operation of the plurality of the transportation systems and generates estimated data, accept request information including locations of departure and destination, generate guidance information for providing information about a route from the location of departure to the location of destination, the route extending over the plurality of the transportation systems, present the guidance information to a user.

Abstract: The present invention provides an information processing device in which a degradation process of an input image is accurately estimated and a dictionary necessary for generating a desired restored image from the input image can be obtained. The information processing device is provided with: an image acquisition means that acquires a plurality of study images and an input image; and an estimation means that, on the basis of similarity between an arbitrary region of the input image and each of a plurality of degradation images in a case where regions of the study images corresponding to the arbitrary region are degraded on the basis of each of the plurality of degradation processes, outputs an estimated degradation process corresponding to the degradation process corresponding to the region of the input image.

Abstract: An information processing device according to the present invention includes: a proper identifier output unit which outputs proper identifiers for identifying learning images; a feature vector calculation unit which calculates feature vectors of at least a part of patches included in registered patches that are registered in a dictionary for compositing a restored image; and a search similarity calculation unit which calculates a similarity calculation method that classifies the proper identifiers to be given to the registered patches based on the feature vectors.

Abstract: A basis image is converted into a more functional image by image synthesis technology using a number of imaging devices arranged independently of each other. A multocular imaging system is provided with a plurality of imaging parts that can be arranged independently of each other, a similar component search part operable to acquire a basis image outputted from at least one imaging part of the plurality of imaging parts and a reference image outputted from another imaging part of the plurality of imaging parts and to search a similar component included in the reference image for each of components included in the basis image, and an image synthesis part operable to perform a synthesis process on at least one component included in the basis image into a desired image with reference to the similar component extracted by the similar component search part and to output the desired image as a synthesis image.

Abstract: The present invention provides an image processing device whereby the probability of outputting a restored image which accurately corresponds to an original image which is included in a low-quality input image is improved. This image processing device comprises: an image group generating means for generating, from the input image, using a dictionary which stores a plurality of patch pairs wherein a degradation patch which is a patch of a degraded image wherein a prescribed image is degraded is associated with a restoration patch which is a patch of this prescribed image, a plurality of restored image candidates including a plurality of different instances of content which have a possibility of being the original content of the input image; and an image selection presentation means for clustering the generated plurality of restored image candidates, and selecting and outputting an image candidate on the basis of the result of this clustering.

Abstract: The image capture device includes an image capture element which is formed of a plurality of pixels and acquires a captured image by detecting light from a subject and converting the light into an electric signal, an optical path changing unit which changes an optical path of light incident on an image capture element and displaces a position of light incident on the image capture element, a state change determining unit which obtains a deviation of a brightness value per pixel in a captured image, determines whether or not a subject temporally changes its state based on the deviation, and outputs an optical path change instruction to an optical path changing unit when it is determined that the subject does not change its state, a correction value calculating unit which performs a predetermined correction value calculating process on captured images of the same subject before and after a state change by an image capture element and calculates a noise image contained in the captured image as a correction value

Abstract: An image processing device according to the present invention includes: a weight calculation unit that determines an area where a feature value of an input image is saved, based on a gradient of a feature value of a pixel of the input image and a direction of the gradient, and calculates a weight for reducing a regularization constraint that is a constraint based on regularization of image processing in the area where the feature value is saved; a regularization term calculation unit that calculates a regularization constraint of a high resolution image restored based on the input image by using the weight; a reconstruction constraint calculation unit that calculates a reconstruction constraint that is a constraint based on reconstruction of the high resolution image; and an image restoring unit that restores the high resolution image from the input image based on the regularization constraint and the reconstruction constraint.

Abstract: An image processing device according to the present invention includes: a patch generation unit which generates an input patch used for comparison on the basis of an input image; a modification parameter estimation unit which estimates a parameter used in blurred modification on the basis of the input image; a blurred image generation unit which generates a blurred image on the basis of a learning image by using the parameter; a patch pair generation unit which generates a patch pair used to compose a restoration image on the basis of the blurred image and the learning image; a selection unit which selects a patch pair used to compose the restoration image on the basis of the input patch; and a composition unit which composes the restoration image on the basis of the patch pair selected by the selection unit.

Abstract: A dictionary creation device including a blurred image generation unit which outputs a blurred image generated by performing a blurring process to a learning image together with a blur parameter indicating a blurring state of the blurred image, a patch pair generation unit which generates a restoration patch and a blurred patch as a patch pair that is composed of the patches located at the corresponding positions of the learning image and the blurred image, and a registration unit which associates the patch pair with a blur parameter corresponding to the blurred patch in the patch pair and registers them in a dictionary.

Abstract: The image capture device includes an image capture element which is formed of a plurality of pixels and acquires a captured image by detecting light from a subject and converting the light into an electric signal, an optical path changing unit which changes an optical path of light incident on an image capture element and displaces a position of light incident on the image capture element, a state change determining unit which obtains a deviation of a brightness value per pixel in a captured image, determines whether or not a subject temporally changes its state based on the deviation, and outputs an optical path change instruction to an optical path changing unit when it is determined that the subject does not change its state, a correction value calculating unit which performs a predetermined correction value calculating process on captured images of the same subject before and after a state change by an image capture element and calculates a noise image contained in the captured image as a correction value

Abstract: The present invention provides an information processing device in which a degradation process of an input image is accurately estimated and a dictionary necessary for generating a desired restored image from the input image can be obtained. The information processing device is provided with: an image acquisition means that acquires a plurality of study images and an input image; and an estimation means that, on the basis of similarity between an arbitrary region of the input image and each of a plurality of degradation images in a case where regions of the study images corresponding to the arbitrary region are degraded on the basis of each of the plurality of degradation processes, outputs an estimated degradation process corresponding to the degradation process corresponding to the region of the input image.

Abstract: An automatic projection image correction system (1) includes: a projection image frame detection unit (101) that detects straight lines forming a frame of a screen-projected image which is projected onto a screen by a projector from a captured image obtained by capturing the screen-projected image using a camera; and a projector plane parameter estimation unit (102) that sets coordinate axes to a projector image, which is an original image of the screen-projected image, and the captured image and estimates at least one of a distance between the screen and the projector, an inclination of the screen with reference to an optical axis of the projector, and a zoom ratio of the projector, using an inclination of the optical axes of the projector and the camera, a distance between the optical centers of the projector and the camera, an intrinsic parameter of the camera, coordinate data of the detected straight lines at coordinates of the captured image, and coordinate data of straight lines corresponding to the fra

Abstract: There is provided an image processing system which can remove jaggies not only from binary images but also from gray scale images, color images and images upscaled by an unknown scaler. When the center pixel of the local area clipped from a processing target image is decided to be the jaggy removal target pixel, a base filter computing means 84 applies a plurality of types of predetermined base filters to the local area. A weight calculating means 85 calculates weights with respect to the plurality of types of base filters based on the feature amount calculated by a principal component analyzing means 82. Based on a filtering result of each base filter and a weight with respect to each base filter, a filtering result weight computing means 86 updates a pixel value of the center pixel.

Abstract: Provided is an image processing device that can bring about the sufficient resemblance between an original image and a restored image obtained corresponding to a low resolution input image. The image processing device includes a means that uses a dictionary for storing data associating deteriorated patches which are from a deteriorated image formed by deteriorating a prescribed image, and restoration patches which are from the prescribed image, and calculates, as a degree-of-similarity between plural input patches generated by dividing an input image and the deteriorated patches, a weighted degree-of-similarity between weighted deteriorated patches and weighted input patches, in which forms of the deteriorated patches and the input patches are reconfigured using a patch weight which is continuous weighting; a means that selects, on the basis of the weighted degree-of-similarity, a restoration patch for each input patch; and a means that combines the restoration patches to generate a restored image.

Abstract: An image processing device, which uses a dictionary which stores data of two or over sets which associate a blurred patch of a blurred image generated by blurring a predetermined image with a restoration patch of the predetermined image. The device includes a processor that processes instructions to generate a tentative restored image from the restoration patch selected based on values indicating similarities between plural input patches generated by dividing an inputted input image and the blurred patch. The processor also processes the instructions to generate a tentative patch by dividing the tentative restored image. The processor further processes the instructions to generate a restored image from the restoration patch selected based on a sum of the value indicating the similarity between the input patch and the blurred patch and a value indicating the similarity between the tentative patch and the restoration patch.

Abstract: A basis image is converted into a more functional image by image synthesis technology using a number of imaging devices arranged independently of each other. A multocular imaging system is provided with a plurality of imaging parts that can be arranged independently of each other, a similar component search part operable to acquire a basis image outputted from at least one imaging part of the plurality of imaging parts and a reference image outputted from another imaging part of the plurality of imaging parts and to search a similar component included in the reference image for each of components included in the basis image, and an image synthesis part operable to perform a synthesis process on at least one component included in the basis image into a desired image with reference to the similar component extracted by the similar component search part and to output the desired image as a synthesis image.

Abstract: For each pixel of an input image, a direction toward which variation in pixel value between the relevant pixel and its peripheral pixels is largest and an amount of the variation in pixel value are computed, where a direction unit vector that indicates the direction toward which the variation is largest and a variation vector that represents the amount of the largest variation in the pixel value are computed. For each pixel, a regularization strength is computed utilizing the direction unit vector, the variation vector, and a regularization strength computing formula so that the larger the amount of the variation in pixel value toward a direction indicated by the direction unit vector, the less the regularization strength. An optimization function is determined based on the input image and the regularization strength for each pixel thereof and assigns a value for each pixel, by which the determined optimization function has the minimum value, to the corresponding pixel of a restored image to be generated.

Abstract: An information processing device according to the present invention includes: a proper identifier output unit which outputs proper identifiers for identifying learning images; a feature vector calculation unit which calculates feature vectors of at least a part of patches included in registered patches that are registered in a dictionary for compositing a restored image; and a search similarity calculation unit which calculates a similarity calculation method that classifies the proper identifiers to be given to the registered patches based on the feature vectors.

Abstract: In an image processing apparatus, a conditional probability calculating element calculates the probability of existence of an attribute as to each region in an input degraded image, for each attribute. Optimization function determining element uses a conditional probability calculated by the conditional probability calculating element with regard to each region in the degraded image for each attribute, a-priori knowledge defined as a conditional probability of appearance of an attribute in a region of a candidate of a restored image when there is the attribute in the region, and the input degraded image to determine an optimization function using the candidate of the restored image as a variable and yielding a smaller value as the candidate of the restored image is closer to a true restored image. Restored image determining element adopts the candidate of the restored image with which the optimization function yields a minimum value as the restored image.

Abstract: An image processing device according to the present invention includes: a weight calculation unit that determines an area where a feature value of an input image is saved, based on a gradient of a feature value of a pixel of the input image and a direction of the gradient, and calculates a weight for reducing a regularization constraint that is a constraint based on regularization of image processing in the area where the feature value is saved; a regularization term calculation unit that calculates a regularization constraint of a high resolution image restored based on the input image by using the weight; a reconstruction constraint calculation unit that calculates a reconstruction constraint that is a constraint based on reconstruction of the high resolution image; and an image restoring unit that restores the high resolution image from the input image based on the regularization constraint and the reconstruction constraint.