摘要:
An image processing device, an image processing method, and an image processing program capable of outputting an image with appropriate sharpness for an input image that may include both a dynamic region and a static region. An image processing device includes a static and dynamic information calculator configured to calculate static and dynamic information of an input image; a blend ratio setting unit configured to determine a blend ratio by performing a predetermined operation on the static and dynamic information of the input image; and an image processing unit configured to generate an output image optimized for static and dynamic change by performing image processing on the input image on the basis of the blend ratio.
摘要:
[Problem] Provided is an image processing apparatus and program that are able to suppress ringing caused in image data having increased image quality while considering the sharpness of the image data.[Solving Means] An image processing apparatus includes a ringing incidence estimation unit configured to estimate an incidence of ringing representing a probability that ringing will occur, on the basis of input image data, a sharpness estimation unit configured to estimate a sharpness emphasis level representing intensity of sharpness of an input image represented by the input image data, on the basis of the input image data, and an adjuster configured to perform an adjustment process to suppress a level of image conversion on each pixel in converted image data obtained by performing the image conversion on the input image data, on the basis of the incidence of ringing and/or the sharpness emphasis level.
摘要:
A magnification factor is estimated for a magnified image. A generating means generates an image by removing a high frequency component from an input image. A first calculating means calculates a high frequency component greater than or equal to a prescribed frequency component in the spatial frequency component of the input image, as a spatial frequency component characteristic value. A second calculating means calculates the spatial frequency component of the input image, as a second spatial frequency component characteristic value. A determining means determines whether each pixel is block noise. A magnification factor estimating means removes pixels determined to be block noise by the determining means from summation target pixels and, estimates the magnification factor of the input image to be higher when the difference between the first spatial frequency component characteristic values and second spatial frequency component characteristic values of the remaining pixels is smaller.
摘要:
To detect annotation lines in medical image data. Horizontal annotation pixel determination means obtains the color component value difference between each pixel of a predetermined number of connected adjacent pixels in a first direction of the target pixel and an adjacent pixel thereof. If the total number of pixels having color component value differences, of the predetermined number of pixels is equal to or smaller than a first threshold, the horizontal annotation pixel determination means determines that the target pixel is an annotation pixel. If annotation pixels are successive in the horizontal direction in a predetermined number, horizontal annotation line determination means determines that the annotation pixels form an annotation line. The same applies to the vertical direction. The determined annotation lines are provided to border detection means.
摘要:
[Problem] The present invention provides a stereoscopic image display device, stereoscopic image display method, and a program capable of displaying the display target with a constant size and a constant aspect ratio even when the distance between the stereoscopic image display device and the user changes. [Solution to Problem] The present invention provides a stereoscopic image display device comprising: a display part; an acquisition part configured to acquire an observation viewing distance that is a viewing distance from the display part to a user; and an adjustment part configured to adjust a display state of a display image based on a reference viewing distance and the observation viewing distance, wherein the display part is configured to display a stereoscopic image based on the display state.
摘要:
To detect annotation lines in medical image data. Horizontal annotation pixel determination means obtains the color component value difference between each pixel of a predetermined number of connected adjacent pixels in a first direction of the target pixel and an adjacent pixel thereof. If the total number of pixels having color component value differences, of the predetermined number of pixels is equal to or smaller than a first threshold, the horizontal annotation pixel determination means determines that the target pixel is an annotation pixel. If annotation pixels are successive in the horizontal direction in a predetermined number, horizontal annotation line determination means determines that the annotation pixels form an annotation line. The same applies to the vertical direction. The determined annotation lines are provided to border detection means.
摘要:
An image quality enhancing apparatus which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The apparatus calculates, from the feature quantity of an image, coefficients of low-image-quality base vectors expressing a feature quantity with a linear sum and generates the image with the image quality enhanced by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, the number of base vectors with non-zero coefficients is determined, the determined number of base vectors is selected, and a solution of a coefficient matrix is calculated by assuming the coefficients of the base vectors other than the selected base vectors are zero. The amount of processes necessary for obtaining a sparse solution of a coefficient matrix can be reduced by adjusting the number of base vectors with non-zero coefficients, and a practical image quality enhancing apparatus can be realized.
摘要:
An image quality enhancing apparatus, an image display apparatus, an image quality enhancing method, and a computer readable storage medium which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The image quality enhancing apparatus calculates, from the feature quantity of an image, coefficients of low-image-quality base vectors expressing a feature quantity with a linear sum and generates the image with the enhanced image quality by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, T base vectors highly influential on the feature quantity are selected from among a plurality of base vectors and an analytic solution making L2 norm of a coefficient matrix α as small as possible is calculated. A sparse solution of the coefficients can be obtained without using the iteration method and a practical image quality enhancing apparatus can be realized.
摘要:
To detect whether an FRC process is performed, provided is an image processing apparatus including an earlier frame movement region detecting means that detects an earlier frame movement region in an earlier frame; a later frame movement region detecting means that detects a later frame movement region in a later frame that is positioned after the earlier frame; a determining means that, when a shift between the earlier frame movement region and the later frame movement region is less than or equal to a region shift threshold value, determines that a frame rate control process is being performed and outputs a parameter change command for changing a threshold value of an image processing parameter; and an image processing means that, upon receiving the parameter change command, changes the threshold value of the image processing parameter.
摘要:
A rectangular moving region is properly determined. A retainer retains an outputted moving region of time t and, at time t+1, provides it to a specified region feature detector. At time t+1, the specified region feature detector applies the moving coordinates of time t provided by the judgment unit to respective images of times t and t+1 to calculate feature data d(t) around the moving coordinates of time t and feature data d(t+1) around the moving coordinates of time t+1 and then provides the calculated data to a judgment unit. The judgment unit judges whether there is a box, based on the feature data d(t+1).