Image processing may include separating a noise component from an original image resulting in a de-noised image and determining a noise parameterization for the noise component. The de-noised image and the noise parameterization may be compressed.

A system and method provide for determining regions of interest within an image based on viewer interaction with the image. At least one image associated with a location is provided for display in a viewport, and pose data related to user interaction with the at least one image is identified. Weights are assigned to portions of the at least one image based on the pose data, the weights indicating at least a period of time the portion of the at least one image is generally at a center of the viewport. Based on the assigned weights, image regions of interest of the at least one image are determined.

An inspection method according to the embodiments includes applying light of a light source to an inspection target; receiving light from the inspection target to obtain a first image of the inspection target by a sensor; based on an image of a first pattern comprising repetitive patterns unresolvable with a wavelength of the light source in the first image, calculating a deviation of luminance values with respect to each of first regions in the first pattern by a processor; obtaining a second image of the inspection target by the sensor; correcting luminance values of the second image by the processor based on the deviations of the luminance values; and comparing the repetitive patterns of the corrected second image with each other by a comparer.

The page straightening system includes a word module to determine an enclosing quadrilateral of each connected component of curved page content. Further, a line module in the page straightening system is configured to form text lines by joining enclosing quadrilaterals based on a reading order. Subsequently, a correction module in the page straightening system is configured to generate straightened content from the curved content based on the text lines. As such, the page straightening system can automatically straighten curved page content.

An analysis method of lane stripe images, an image analysis device and a non-transitory computer readable medium thereof are provided to perform steps of: setting a reference point as a center to recognize the lane stripe image in a plurality of default directions; defining a plurality of preset sections onto the lane stripe image and determining a characteristic value of the lane stripe image in each of the preset sections whenever the lane stripe image is recognized in one of the default directions; determining a first feature parameter according to the characteristic values of the lane stripe image in the preset sections when the lane stripe image is recognized in at least one of the default directions; and determining an actual lane parameter of the lane stripe image according to at least the first feature parameter.

An image display method includes displaying an input image having distortion on a display, receiving a plurality of points which are specified on the displayed input image in response to a user input, calculating a first processing area having a first shape according to the points specified on the displayed input image so that the first shape becomes a predetermined shape when distortion of the first processing area having the first shape is corrected, and displaying the first processing area having the first shape together with the input image on the display.

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.

The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a memorizing step of memorizing the captured image (Step S12), and a processing step of processing the captured image memorized (Step S13), wherein in the processing step a region to be diagnosed is subjected to a highlighting process with a specified color thereof maintained.

In an example embodiment, method, apparatus and computer program product are provided. The method includes facilitating receipt of a deconvolved image including a plurality of component images. A guide image is selected from the component images and a cross-filtering is performed of component images other than the guide image to generate filtered component images. The cross-filtering is performed of a component image by iteratively performing, selecting a pixel and a set of neighboring pixels around the pixel in the guide image, computing a set of weights corresponding to the set of neighboring pixels based at least on spatial differences between the pixel and the set of neighboring pixels, and cross-filtering a corresponding pixel of the pixel in the component image based on the set of weights to generate a filtered corresponding pixel in the component image. The filtered component images form a filtered deconvolved image with reduced chromatic aberration.

In an image representing an observed ground surface area, the device calculates an optical-path-radiance with a high degree of accuracy. An image information processing device 3 includes: a storage unit 31 that associates and stores observation images representing the results of observing electromagnetic waves of a plurality of different wavelength bands reflected from a ground surface, information representing the wavelength bands, and information representing the observation environment; a first intermediate-optical-path-radiance calculation unit that, for each of the wavelength band, makes the radiance of a dark pixel meeting a radiance standard from among pixels composing an associated observation image an intermediate-optical-path-radiance; an irradiance calculation unit that calculates the irradiance from sunlight for each of the wavelength band on the basis of the information representing the observation environment; and a final-optical-path-radiance calculation unit that calculates a final-optical-path-radiance for each of the wavelength band on the basis of the irradiance and intermediate-optical-path-radiance.