摘要:
An image processing apparatus includes an operating unit configured to calculate a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit configured to convert local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit configured to perform, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved surface model expressed with the pixel value of the target pixel in the input image.
摘要:
An image processing apparatus includes an operating unit that calculates a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit that converts local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit that performs, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved-plane model expressed with the pixel value of the target pixel in the input image.
摘要:
An image processing apparatus includes an operating unit configured to calculate a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit configured to convert local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit configured to perform, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved surface model expressed with the pixel value of the target pixel in the input image.
摘要:
An image sensor has a plurality of photo detectors each having a spectral sensitivity. An image data input unit inputs image data having a position, a spectral sensitivity, and a measured signal value of each photo detector in an area of the image sensor. A parameter estimation unit estimates each parameter of a plurality of spectral intensity functions using the image data. Each spectral intensity function represents an intensity of light corresponding to a spectrum in the area. An intensity estimation unit estimates the intensity of light in the area using the plurality of spectral intensity functions with each parameter. An output unit outputs the intensity of light for each photo detector.
摘要:
A degraded-image restoration method includes inputting a degraded image degraded by a predetermined degradation process; reading from a storage unit a filter coefficient in a filtering process of restoring the degraded image, in which an iteration formula for minimizing a square error between the degraded image and an image obtained by degrading a restored image by the degradation process is expanded corresponding to a predetermined number of iterations; and performing the filtering process using the filter coefficient with respect to the degraded image to obtain a restored image of the degraded image. Accordingly, a throughput in an apparatus that restores the degraded image can be reduced, thereby obtaining a preferable restored image.
摘要:
In one embodiment, an image data acquisition unit, a filter setting unit and a filtering processor are provided. The image data acquisition unit acquires pixel data of first image data of an erect image obtained by a line sensor comprising a plurality of light receiving elements. The erect image is formed by a plurality of gradient index lenses of a lens array. The filter setting unit sets sharpening filter coefficients of a filter to be applied to the pixel data of the first image data corresponding to the respective light receiving elements, according to remainder values obtained respectively by dividing positions of the light receiving elements on the line sensor by an interval of a lens arrangement of the lens array. The filtering processor generates second image data sharpened by applying the obtained sharpening filter coefficients to the respective pixel data of the first image data.
摘要:
A degraded-image restoration method includes inputting a degraded image degraded by a predetermined degradation process; reading from a storage unit a filter coefficient in a filtering process of restoring the degraded image, in which an iteration formula for minimizing a square error between the degraded image and an image obtained by degrading a restored image by the degradation process is expanded corresponding to a predetermined number of iterations; and performing the filtering process using the filter coefficient with respect to the degraded image to obtain a restored image of the degraded image. Accordingly, a throughput in an apparatus that restores the degraded image can be reduced, thereby obtaining a preferable restored image.
摘要:
An image processing apparatus includes a blur reproducing unit that generates blur-reproduced image data by reproducing a predetermined blur of a lens, with respect to blur-corrected image data of which an initial data is input image data inputted from an image sensor; a blur correcting unit that corrects the blur-corrected image data so that an error between the blur-reproduced image data and the input image data becomes smaller; and a curved-surface fitting unit that obtains curve surface parameters of each functions approximating distribution of pixel values of each of color components of the blur-corrected image data so that curved-surface shapes of the functions become the same among the color components, and updates the pixel values of the blur-corrected image data by using the curve surface parameters.
摘要:
An interpolated image generating apparatus calculates a motion vector reliability level indicating reliability of a motion vector used for inserting an interpolated image, the value of the motion vector reliability level being determined in such a manner that the stronger the correlation is between a source image area and a destination image area that are brought into correspondence with each other by the motion vector, the larger is the value. The apparatus also calculates a failure-preventing vector reliability level indicating reliability of a predetermined failure-preventing vector used for preventing image failures. The apparatus obtains a motion compensated image based on the motion vector, obtains a failure-preventing image based on the failure-preventing vector, and blends the motion compensated image and the failure-preventing image according to a weighted average thereof calculated by using a weighting factor based on the motion vector reliability level and the failure-preventing vector reliability level.
摘要:
A motion vector detection method includes extracting a first block from the m-th picture, extracting second blocks having a large correlation with respect to the first block from a (m+n)-th picture ((m+n)>m-th), detecting first motion vectors between the first and second blocks, extracting a third block located in spatially the same position as that of the first block from a (m+i)-th picture ((m+n)>(m+i)>m-th), computing second motion vectors of (n−1)/n times the first motion vectors, extracting a fourth block corresponding to a movement position of the third block from the (m+n)-th picture according to the second motion vector, and selecting an optimum motion vector maximizing a correlation between the third and fourth blocks from the first motion vectors.