Abstract: An imaging apparatus has a color filter array, an image sensor, and a differential information acquisition unit. In the color filter array, including five or more types of color filters are arranged in a two dimensional form. The image sensor has a plurality of pixels covered by the color filters, and the plurality of pixels generate pixel signals. The acquisition unit designates one of the pixels covered by the color filters of interest as a pixel of interest one pixel at a time in order. The acquisition unit calculates first differential information based on pixel signals generated by two of the pixels arranged on both sides of the pixel of interest along the first direction. The acquisition unit calculates second differential information based on pixel signals generated by two of the pixels arranged on both sides of the pixel of interest along the second direction.

Abstract: The color filter array 21a comprises seven or more types of color filters including a first color filter. The seven or more types color filters have different spectral sensitivity characteristics. The seven or more types of color filters are arranged in a two-dimensional form. Among the seven or more types of color filters, at least two types of color filters are designated as a color filter of interest. Two color filters arranged at a first interval on both sides of the color filter of interest along a first direction are of the same type. Two color filters arranged at a second interval on both sides of the color filter of interest along a second direction that is different from the first direction are of the same type. Among the color filters, at least one type of color filter have a density higher than that of the other types of color filters, thereby realizing acquisition of highly accurate gradient information from a multiband color filter array.

Abstract: An image processing method includes: a frame selection step for selecting a base frame and a reference frame; an image displacement amount calculation step for calculating an image displacement amount between the reference frame and the base frame; a weighting coefficient generation step for generating a weighting coefficient using at least one of an encoding type of the reference frame and the motion information of the encoded moving image data; and an image quality improvement step for improving an image quality of the base frame using the image displacement amount calculated in the image displacement amount calculation step and the weighting coefficient generated in the weighting coefficient generation step.

Abstract: An apparatus capable of improving the estimation accuracy of information on a subject including a distance up to the subject is provided. According to an environment recognition apparatus 1 of the present invention, a first cost function is defined as a decreasing function of an object point distance Z. Thus, the longer the object point distance Z is, the lower the first cost of a pixel concerned is evaluated. This reduces the contribution of the first cost of a pixel highly probable to have a large measurement or estimation error of the object point distance Z to the total cost C. Thereby, the estimation accuracy of a plane parameter ^q representing the surface position and posture of the subject is improved.

Abstract: An image processing apparatus comprises a processing unit for computing displacement amounts between a basis image and each reference image, a processing unit for generating multiple deformed images based on the displacement amounts, the basis image and multiple reference images, a processing unit for setting a threshold of a parameter, a processing unit for selecting image information from the reference image by the threshold, a processing unit for generating composed images and weighted images based on the basis image, the displacement amounts and the image information, a processing unit for generating high-resolution grid images by dividing the composed image by the weighted image, a processing unit for generating simplified interpolation images based on high-resolution grid images, a processing unit for generating assistance images, a display unit for displaying the assistance images and a control unit that controls the necessary processing as necessary.

Abstract: A motion calculation device includes an image-capturing unit configured to capture an image of a range including a plane and outputs the captured image, an extraction unit configured to extract a region of the plane from the image, a detection unit configured to detect feature points and motion vectors of the feature points from a plurality of images captured by the image-capturing unit at a predetermined time interval; and a calculation unit configured to calculate the motion of the host device based on both of an epipolar constraint relating to the feature points and a homography relating to the region.

Abstract: An image processing apparatus comprises a processing unit for computing displacement amounts between a basis image and each reference image, a processing unit for generating multiple deformed images based on the displacement amounts, the basis image and multiple reference images, a processing unit for setting a threshold of a parameter, a processing unit for selecting image information from the reference image by threshold, a processing unit for generating composed images and weighted images based on the basis image, the displacement amounts and the image information, a processing unit for generating high-resolution grid images by dividing the composed image by the weighted image, a processing unit for generating simplified interpolation images based on high-resolution grid images, a processing unit for generating an image characteristic amount, a display unit for displaying the image characteristic amount and a control unit that controls the necessary processing as necessary.

Abstract: An imaging apparatus has a color filter array, an image sensor, and a differential information acquisition unit. In the color filter array, including five or more types of color filters are arranged in a two dimensional form. The image sensor has a plurality of pixels covered by the color filters, and the plurality of pixels generate pixel signals. The acquisition unit designates one of the pixels covered by the color filters of interest as a pixel of interest one pixel at a time in order. The acquisition unit calculates first differential information based on pixel signals generated by two of the pixels arranged on both sides of the pixel of interest along the first direction. The acquisition unit calculates second differential information based on pixel signals generated by two of the pixels arranged on both sides of the pixel of interest along the second direction.

Abstract: An image processing system includes a reception unit, a derivative calculation unit, a reference image creation unit, and an interpolated image creation unit. The reception unit receives an original image signal formed by a plurality of pixel signals in which any of first through mth (m being an integer three or greater) color signal components is lacking. The derivative calculation unit calculates a derivative for the pixel signals using two pixels sandwiching a pixel corresponding to the pixel signals. The reference image creation unit creates a primary reference image using the first color signal component, which has the largest number of elements among the pixel signals of the original image signal. The interpolated image creation unit creates an interpolated image by interpolating all of the color signal components using the primary reference image. At least one of the primary reference image and the interpolated image is created using the derivative.

Abstract: The color filter array 21a comprises seven or more types of color filters including a first color filter. The seven or more types color filters have different spectral sensitivity characteristics. The seven or more types of color filters are arranged in a two-dimensional form. Among the seven or more types of color filters, at least two types of color filters are designated as a color filter of interest. Two color filters arranged at a first interval on both sides of the color filter of interest along a first direction are of the same type. Two color filters arranged at a second interval on both sides of the color filter of interest along a second direction that is different from the first direction are of the same type. Among the color filters, at least one type of color filter have a density higher than that of the other types of color filters, thereby realizing acquisition of highly accurate gradient information from a multiband color filter array.

Abstract: [Problem] An object of the present invention is to provide an image processing apparatus used for acquisition aid of optimal low-resolution image set for super-resolution processing.

Abstract: [Problem] An object of the present invention is to provide an image processing apparatus used for acquisition assistance of optimal low-resolution image set for super-resolution processing.

Abstract: The present invention provides a three-dimensional surface generation method that directly and efficiently generates a three-dimensional surface of the object surface from multiple images capturing a target object. The three-dimensional surface generation method of the present invention sets one image as a basis image from multiple images obtained by capturing the target object from different viewpoint positions and sets other images as reference images, and then generates two-dimensional triangle meshes on the basis image.

Abstract: Disclosed is an image processing apparatus that is capable of effectively generating a high-resolution image with high image quality from multiple low-resolution images having displacements by an iterative reconstruction processing based on a reconstruction-based super-resolution processing method.

Abstract: An object position area is calculated according to a position in the space of a detected truck. A template corresponding to the object position area recorded at the previous time is then called. The template is moved to a position on a reference image Ib where the similarity is highest. Overlap rate of the object position area and the template is calculated. A decision is made whether the object is identical to that detected in the past by using the overlap rate.

Abstract: An image processor includes a frequency transformation unit configured to perform frequency transformation processing with respect to a multiple image, and an inter-superimposed-image displacement acquisition unit that calculates a displacement amount between images forming superimposed images included in the multiple image by using a frequency-transformed image subjected to the frequency transformation processing by the frequency transformation unit.

Abstract: A rotation matrix and a translation vector between a basic camera and a reference camera are read out from a parameter storage section. At a projection conversion matrix calculating section, a projection conversion matrix capable of overlapping the road plane area included in images picked up by the basic camera and the reference camera is calculated by using the rotation matrix and the translation vector.

Abstract: A standard camera picks up a standard image, and a reference camera picks up a reference image. A flat area is extracted from the standard image and the reference image. An edge image is created by extracting the edges and feature points from the standard image and then a corrected edge image is created by removing the flat area. Object detection processing is carried out on the edges and feature points of the corrected edge image with reference to the reference image.

Abstract: An image processor includes an inter-superimposed-image deformation acquisition unit configured to acquire deformation information between superimposed images included in a multiple image in which images of a subject are superimposed, an image deformation unit configured to generate at least two deformed images by performing deformation processing with respect to the multiple image at least twice to be geometrically deformed based on the acquired deformation information between superimposed images, and a signal intensity relationship acquisition unit configured to acquire signal intensity relationship information indicative of a relationship between signal intensities of the superimposed images included in the multiple image. The image processor further includes a signal processing unit configured to perform addition processing of the at least two deformed images generated from the deformation processing by using the acquired signal intensity relationship information.

Abstract: The present invention provides a fast method of super-resolution processing which realizes speedup of the high-speed super-resolution processing by speeding up the calculations of an evaluation function and the differential of the evaluation function with respect to a high-resolution image in a reconstruction-based super-resolution processing. A fast method of super-resolution processing for speeding up a super-resolution processing that estimates a high-resolution image from multiple low-resolution images with displacements, the method characterized in that an evaluation function and a differential of the evaluation function with respect to the high-resolution image are calculated by a combination of basic image operations.