Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

Visibility of a license plate and color reproducibility of a vehicle body are improved in a monitoring camera. A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

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.

There is provided an information processing apparatus, an information processing method, a program, and an interchangeable lens each capable of appropriately correcting shading of an image having a plurality of viewpoints. A communication unit receives shading information associated with shading of each of a plurality of ommatidium images that are included in a captured image acquired by one image sensor and correspond to images formed by lights respectively concentrated by a plurality of ommatidium lenses that are a plurality of lenses so disposed as not to overlap with each other in an optical axis direction and are included in an interchangeable lens when the interchangeable lens is fitted to a camera body including the image sensor. A correction unit corrects shading of each of the plurality of ommatidium images that are included in the captured image acquired by the image sensor and respectively correspond to the plurality of ommatidium lenses on the basis of the shading information. For example, the present technology is applicable to a camera system or the like which captures an image.

There is provided an information processing apparatus, an information processing method, a program, and an interchangeable lens each capable of appropriately correcting shading of an image having a plurality of viewpoints. A communication unit receives shading information associated with shading of each of a plurality of ommatidium images that are included in a captured image acquired by one image sensor and correspond to images formed by lights respectively concentrated by a plurality of ommatidium lenses that are a plurality of lenses so disposed as not to overlap with each other in an optical axis direction and are included in an interchangeable lens when the interchangeable lens is fitted to a camera body including the image sensor. A correction unit corrects shading of each of the plurality of ommatidium images that are included in the captured image acquired by the image sensor and respectively correspond to the plurality of ommatidium lenses on the basis of the shading information. For example, the present technology is applicable to a camera system or the like which captures an image.

Disclosed is a display apparatus including: a signal receiver configured to receive an image signal; a display configured to display an image; a processor configured to: calculate a change degree and a change direction of pixel value differences between at least one first pixel and two or more second pixels of an image, and change a pixel value of the first pixel based on the pixel value difference which is relatively small among the pixel value differences obtained by the calculated change degree and the calculated change direction. According to this, it is possible to enhance the image details without generating or and increasing of the noises.

A device, system and method for enhancing high-contrast and text regions in projected images is provided. A device applies, to an input image: a high-contrast sharpening filter sharpening high-contrast regions producing a high-contrast sharpened image; and a background sharpening filter sharpening other regions of the input producing a background sharpened image, the background sharpening filter applying less sharpening than the high-contrast sharpening filter. The device: determines, using high-contrast and motion detectors, the input image and/or previous images, masks selecting stationary high-contrast regions of the input image; determines, using the masks, a background mask selecting remaining regions of the input image; applies the masks to the high-contrast sharpened image selecting stationary high-contrast regions therefrom; applies the background mask to the background sharpened image selecting the remaining regions therefrom; combines the stationary high-contrast and remaining regions to produce a combined enhanced image; and controls a projector to project the combined enhanced image.

This invention discloses an image processing method and an image processing device for filtering images. The image processing method includes the following steps: (A) generating a weight for each reference pixel, the image including multiple reference pixels and the magnitude of the weight being associated with a similarity between the reference pixel to which the weight corresponds and a target pixel; and (B) performing an infinite impulse response (IIR) filtering operation according to the weights, a pixel value of the target pixel, and the pixel values of the reference pixels to obtain an IIR-filtered value of the target pixel.

This invention discloses an image processing method and an image processing device for filtering images. The image processing method includes the following steps: (A) generating a weight for each reference pixel, the image including multiple reference pixels and the magnitude of the weight being associated with a similarity between the reference pixel to which the weight corresponds and a target pixel; and (B) performing an infinite impulse response (IIR) filtering operation according to the weights, a pixel value of the target pixel, and the pixel values of the reference pixels to obtain an IIR-filtered value of the target pixel.

An image processing apparatus and method are provided. The image processing apparatus includes: a memory configured to store at least one instruction, and a processor electrically connected to the memory, wherein the processor, by executing the at least one instruction, is configured to: apply an input image to a training network model; and apply, to a pixel block included in the input image, a texture patch corresponding to the pixel block to obtain an output image, wherein the training network model stores a plurality of texture patches corresponding to a plurality of classes classified based on a characteristic of an image, and is configured to train at least one texture patch, among the plurality of texture patches, based on the input image.