Provided is an image reading apparatus including: a line sensor including three light receiving element arrays arranged at a predetermined interval in a sub-scanning direction, and being configured to read an image of an original by the respective light receiving element arrays to generate read data representing the read image, the three light receiving element arrays each including light receiving elements for receiving red light, blue light and green light. These elements are arranged in a main scanning direction; and a reading control board. The reading control board is configured to acquire the read data obtained by the respective light receiving element arrays from the line sensor, to sort a plurality of pieces of read data for every pixel of the same color, and to detect an abnormal pixel that does not exist in the image of the original for each color.

The image processing apparatus includes: an abnormality detection unit configured to detect one or more abnormalities included in a target image and an abnormality exclusion processing unit configured to exclude a specific abnormality from the detected one or more abnormalities. In a case in which a detection area of a certain abnormality among the detected one or more abnormalities and a detection area of another abnormality overlap with each other and a type of the certain abnormality and a type of the another abnormality are different from each other, when brightness information of one of the certain abnormality and the another abnormality satisfies a specific condition, the abnormality exclusion processing unit excludes the one of the certain abnormality and the another abnormality from the detected one or more abnormalities.

The image processing apparatus includes: an abnormality detection unit configured to detect one or more abnormalities included in a target image and an abnormality exclusion processing unit configured to exclude a specific abnormality from the detected one or more abnormalities. In a case in which a detection area of a certain abnormality among the detected one or more abnormalities and a detection area of another abnormality overlap with each other and a type of the certain abnormality and a type of the another abnormality are different from each other, when brightness information of one of the certain abnormality and the another abnormality satisfies a specific condition, the abnormality exclusion processing unit excludes the one of the certain abnormality and the another abnormality from the detected one or more abnormalities.

A printing apparatus includes: a head which discharges liquid to a medium; and a controller. The controller obtains print data for forming an image on the medium with a dot formed by making the liquid to land on the medium, the image including a code having information; selects, in the obtained print data, dot data corresponding to the dot forming the image as selected data, determines whether a first dot pattern including the selected dot data matches a predetermined delete pattern, and determines whether a second dot pattern including the selected dot data matches a predetermined exclusion pattern; performs a correction of the print data based on results of the determinations; and discharges the liquid from the head to the medium, based on the print data after the correction, to form the image on the medium.

Systems and apparatuses for applying coating to nails are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, to performing image processing on an image of the nail to locate a boundary of the nail. The method can further include determining a path along which to move the nail relative to an applicator, the applicator being used to coat the nail. In a further embodiment, using the located boundary of the nail, a dispensing procedure for the applicator to follow to coat the nail is determined.

An information processing device acquiring to the present invention includes: a CPU; and a memory storing a program, wherein the CPU, by the program, configures: a variation-amount calculating unit that, for an input image, calculates a variation amount between a value of a predetermined pixel of the input image and values of peripheral pixels of the predetermined pixel; an attribute reliability unit that, based on an attribute that is a property of pixels within a specified area in the input image and the variation amount, calculates attribute reliability of the pixel; a regularization strength estimating unit that, based on image quality information about image quality for the attribute and the attribute reliability, estimates a regularization strength of the pixel; and an image reconstructing unit generates a reconstructed image that is an image acquired by reconstructing the input image by using the regularization strength.

When performing noise removal of an image signal by applying the background art, there is a case where a filter coefficient that causes an edge constituting the image to become blurred against expectation due to the influence of noise in the image signal is set. The methods to solve this problem include a method for calculating a wide range of image feature values needed for correction of the filter coefficient, but this method has the problem that it requires a significant amount of calculation, thus increasing the calculation cost. To solve the above problem, the present invention is provided with an image signal input means, a wavelet transformation means, a first structure/texture separating means, a texture component degenerating means, a first combining means, an inverse wavelet transformation means, and a second structure/texture separating means. The present invention is further provided with a second texture component degenerating means, a second combining means, and an image signal output means.

A restoration filter generation device that generates a restoration filter to perform restoration processing on luminance system image data that is image data related to luminance, which is generated based on image data of respective colors of multiple colors obtained by an imaging device having an optical system, includes an information acquisition device acquiring transfer function information corresponding to point image distribution in the optical system, for each color of the multiple colors, and a restoration filter generation device generating the restoration filter based on the transfer function information acquired by the information acquisition device and generating the restoration filter that performs phase correction of the luminance system image data according to the transfer function information on a single color of the multiple colors.

A restoration filter generation device that generates a restoration filter to perform restoration processing on luminance system image data that is image data related to luminance, which is generated based on image data of respective colors of multiple colors obtained by an imaging device having an optical system, includes an information acquisition device acquiring transfer function information corresponding to point image distribution in the optical system, for each color of the multiple colors, and a restoration filter generation device generating the restoration filter based on the transfer function information acquired by the information acquisition device and generating the restoration filter that performs phase correction of the luminance system image data according to the transfer function information on a single color of the multiple colors.

An image processing apparatus includes: a pixel value group creation unit configured to create, for a plurality of pieces of image data generated by an image sensor including: a plurality of pixels arranged two-dimensionally to receive light from outside and generate a signal corresponding to an amount of the received light; and a plurality of read-out circuits shared by a predetermined number of pixels and configured to read out the signal as pixel values, a plurality of pixel value groups by classifying the pixel values for each of the plurality of read-out circuits; and a noise determination unit configured to determine whether blinking defect noise occurs in each of the plurality of pixel value groups, based on distribution of the pixel values of each of the plurality of pixel value groups created by the pixel value group creation unit.