An image processing apparatus comprising: an input unit configured to input image signals which include a first signal and a second signal lower in spatial resolution than the first signal; an obtaining unit configured to obtain information about a spatial high-frequency component of the first signal which is included in the image signals input by the input unit; a generation unit configured to generate an expanded second signal obtained by expanding the spatial resolution of the second signal included in the image signals by using the information about the spatial high-frequency component of the first signal obtained by the obtaining unit; and an output unit configured to output a processed image signal which includes the expanded second signal generated by the generation unit.

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.

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.

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.

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 focus assist circuit for a viewfinder, including a video amplifier configured to amplify a video signal, a video gain controller configured to adjust gain of the video amplifier to provide peaking headroom, and a peaking processor configured to adjust the amplified video signal. The focus assist circuitry may facilitate focusing a camera lens by proving peaking headroom for a peaking signal that is combined with an amplified signal. The peaking headroom limits the gain applied to a video signal in order to reduce distortions in the peaks. A user interface may include input controls configured to limit the gain of the of a video amplifier.

The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

The present technology is directed to determining an accuracy of an infrared (IR) camera, and more particularly, validating a distortion accuracy of an IR camera. The present technology can receive one or more images of a calibration harp captured by the IR camera, wherein the one or more images include a plurality of lines corresponding to a plurality of strings of the calibration harp. The present technology can further determine a degree of distortion of the plurality of lines based on a distortion error coefficient, wherein the distortion error coefficient is computed based on edge points of the plurality of lines on the one or more images.

A 70,000-gate device and method which provide substantially real-time TV video images that are similar to pre-degradation original images by: setting luminance distribution of a degraded image and an estimated luminance distribution of initial values of a reconstructed image for one frame of TV video images; using a first PSF luminance distribution in a first-time iterative calculation, said first PSF luminance distribution having been specified in accordance with the degree of degradation of the degraded image; using a second PSF luminance distribution in a second-time iterative calculation; and while setting a reconstructed image estimated luminance distribution from the first-time iterative calculation as a second-time estimated luminance distribution of the initial values of the reconstructed image, performing the second-time iterative calculation in an image reconstructioner which determines, in the luminance distribution of the degraded image, the most likely estimated luminance distribution of the reconstructed image based on the Bayse probability theorem.