Fluorescence imaging with reduced fixed pattern noise is disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor to generate a plurality of exposure frames. The method includes applying edge enhancement to edges within an exposure frame of the plurality of exposure frames. The method is such that at least a portion of the plurality of pulses of electromagnetic radiation emitted by the emitter comprises one or more of electromagnetic radiation having a wavelength from about 770 nm to about 790 nm.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

A video processing device includes an acquirer that acquires video data via a predetermined transmission line, the video data including video and metadata that indicates a first frequency band that is a spatial frequency range in which the video is present; an adjuster that makes sharpness gain adjustment to video such that, among a plurality of regions of the video included in the video data acquired by the acquirer, a sharpness gain for a first region that belongs to the first frequency band indicated by the metadata exceeds a sharpness gain for a second region that belongs to a second frequency band that is a range outside the first frequency band; and an output device that outputs video adjusted by the adjuster.

A low-resolution image is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super-resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming after the super-resolution processing, accurate display can be performed.

A method and a device for enhancing an edge of an image are provided. The method includes: obtaining a first gradient value of a pixel; determining whether the pixel is at a rough edge according to the first gradient value; if yes, obtaining a first edge enhancement value of the pixel and obtaining a first edge enhancement result of the pixel according to the first edge enhancement value; if no, obtaining a second gradient value of the pixel; determining whether the pixel is at a tiny edge according to the second gradient value; if yes, obtaining a second edge enhancement value of the pixel and obtaining a second edge enhancement result of the pixel according to the second edge enhancement value; if no, obtaining the pixel value of the pixel as the edge enhancement result of the pixel; and repeating above steps until each pixel of the image is processed.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

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 that selects images for digest reproduction from a plurality of images, comprises: an information acquisition unit configured to acquire, for every image, shooting information generated at a time of shooting; an image evaluation unit configured to derive evaluation values for images based on the shooting information and an evaluation criterion; and an image selection unit configured to select images for digest reproduction by ranking images based on the evaluation values, wherein the image evaluation unit changes the evaluation criterion based on information on a lens used in shooting the images.

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.

There is provided a video signal noise elimination method for performing noise correction by digital processing. The video signal noise elimination method includes using, as an output video signal, a mixed video signal obtained by mixing an input video signal and a low-pass video signal at a predetermined mixing ratio corresponding to a contour signal. The method further includes subtracting an off-set, which grows larger as the low-pass video signal becomes greater, from the contour signal. The method further includes controlling the predetermined mixing ratio so that a ratio of the low-pass video signal contained in the mixed video signal increases in a portion where the contour signal is small and so that the ratio of the low-pass video signal contained in the mixed video signal decreases in a portion where the contour signal is large.