In one embodiment, coloring artifacts of a color image output by a camera are minimized by taking into account a distortion introduced by the lens. Based on the distortion, the color reconstruction determines which pixels in the grayscale image to include in the reconstruction process. Additionally, the color reconstruction can take into account edges depicted in the grayscale image to determine which pixels to include in the reconstruction process. In another embodiment, coloring artifacts in a 360 degree color image are minimized by performing the color reconstruction process on a three-dimensional surface. Before the color reconstruction takes place, the two-dimensional grayscale image is projected onto a three-dimensional surface, and the color reconstruction is performed on the three-dimensional surface. The color reconstruction on the three-dimensional surface can take into account the distortion produced by the lens and/or can take into account the edges depicted in the two-dimensional and three-dimensional grayscale image.

An information outputting method for a displaying apparatus comprises: an image acquiring step of acquiring image data; an identifying step of identifying a first image characteristic of a first display image which is displayed using a first display characteristic of a first displaying apparatus and is based on the image data, and of identifying a second image characteristic of a second display image which is displayed using a second display characteristic of a second displaying apparatus different from the first displaying apparatus and is based on the image data; and an information outputting step of outputting notification information based on a difference between the first image characteristic and the second image characteristic. Thus, it becomes possible to enable a user to grasp that a difference in image quality may occur among the plurality of display apparatuses respectively having different characteristics.

In one embodiment, coloring artifacts of a color image output by a camera are minimized by taking into account a distortion introduced by the lens. Based on the distortion, the color reconstruction determines which pixels in the grayscale image to include in the reconstruction process. Additionally, the color reconstruction can take into account edges depicted in the grayscale image to determine which pixels to include in the reconstruction process. In another embodiment, coloring artifacts in a 360 degree color image are minimized by performing the color reconstruction process on a three-dimensional surface. Before the color reconstruction takes place, the two-dimensional grayscale image is projected onto a three-dimensional surface, and the color reconstruction is performed on the three-dimensional surface. The color reconstruction on the three-dimensional surface can take into account the distortion produced by the lens and/or can take into account the edges depicted in the two-dimensional and three-dimensional grayscale image.

An image processing apparatus performs image processing on image data including blinking defective noise generated by an image sensor including pixels configured to generate a signal, and readout circuits configured to read out the signal as a pixel value. The image processing apparatus includes: an acquisition unit configured to acquire noise information including position information of a pixel in which there is a possibility that blinking defective noise attributed to the readout circuit occurs; a direction determination unit configured to determine, based on the noise information, and pixel values of neighboring pixels surrounding a pixel of interest in an image corresponding to the image data, a direction in which pixel values having highest correlation with a pixel value of the pixel of interest are consecutively arrayed; and an image processor configured to perform image processing on the image data based on a determination result.

The present invention relates to a parallel image measurement method oriented to the insulating layer thickness of a radial symmetrical cable section. The method conducts the non-contact high-accuracy measurement based on the machine vision and the image analysis, adopts a GPU multi-core parallel platform for the high-speed measurement, extracts the useful information from the section image of the radial symmetrical cable, and then measures the insulating layer thickness. Compared with the prior art, the present patent can lower the time consumed for the accurate measurement, fill in the blank of the high-accuracy parallel image measurement of the insulating layer thickness of the radial symmetrical cable section in the domestic cable industry, break down the monopoly and technology blockade by related foreign manufacturers and improve the technology level of on-line testing of product quality in China, expedite the production automation progress of domestic manufacturer.

Contrast adjustment of a digital image can include using at least two signal processing paths to adjust a display-formatted pixel value to enhance the appearance of edges in displayed image data. A digital image can be filtered by producing an edge enhancement factor, , per pixel from at least one look up table (LUT). Digital image data can also be adjusted using at least two signal processing paths, where the image data is adjusted if a pixel value and its neighboring pixel values are all within a smoothing range or where the pixel delta value is outside of a bad pixel range and its neighboring pixel delta values are all within the bad pixel range. In such cases, the image data can be adjusted by replacing the pixel value with an average or median value of the neighboring pixels.

A method that receives a visual media item and determines an identity of at least one intended viewer of the visual media item is disclosed. The method may further identify a visual representation of an object that is comprised by the visual media item and determine a relevance of the object based, at least in part, on the identity. The method may further generate a modified visual media item such that the modified visual media item differs from the visual media item, at least, by visual emphasis of the visual representation of the object.

Disclosed herein are an image processing apparatus, an image capturing apparatus, an image processing method, and a method of controlling an image capturing apparatus. The image processing apparatus includes: an input unit through which an image is input, a correction value decider configured to detect an edge of the image by applying at least one directional filter that is alignable in a direction with respect to the image, to calculate a mean value of a plurality of pixel values of a plurality of pixels that correspond to the edge, and to determine a correction value that corresponds to each pixel of the image according to the mean value of the plurality of pixel values, and an image corrector configured to apply the correction value to the image in order to correct the image.

There is disclosed an image processing method in which a video signal is inputted from an imaging optical system in which astigmatism remains, and is displayed on a two-dimensional display apparatus. Based on the circumferential direction modulation factor and radial direction modulation factor of a lens used in the imaging optical system, a signal including the amount of vertical or horizontal modulation factor correction proportional to an nth power (n is an integer greater than 1) of a distance from a center position of a screen of the two-dimensional display apparatus is outputted for at least one vertical or horizontal frequency of the two-dimensional display apparatus.

A method to correct an image in a dual-aperture camera. Infrared noise may be subtracted from a pixel of an RGB image by the amount proportional to the distance from the corresponding edge to minimize imaging defects in a dual aperture camera. Such defect minimization may prevent edge information from being lost. A method reduces the effect of false color along the edges by converting inconsistent color edges to more consistent monochrome edges using the YCbCr color space.