Abstract:
An image processing device includes a guided image filtering circuit and an image summation circuit. The guided image filtering circuit is configured to receive an input image including a green channel, a red channel and a blue channel, and to generate a corrected red channel and a corrected blue channel by applying a guided filter with respect to the red channel and the blue channel based on the green channel. The image summation circuit is configured to generate an output image by summing the green channel, the corrected red channel, and the corrected blue channel.
Abstract:
A color fringe is corrected by detecting a transition region that includes pixels adjacent in a linear direction. A color difference distribution in the transition region is modeled by a logistic function. Pixel color values in the transition region are corrected using the logistic function to maximize a correlation between a correction color and a reference color with respect to the transition region. Color distortion such as color fringes is corrected without corrupting the original colors of the image by modeling the color difference by the logistic function while maximizing the correlation using information of the undistorted region. A calculation cost is reduced by reducing the number of the parameters required to optimize the logistic function.
Abstract:
A device for removing haze from an image includes an image decomposer that decomposes a near-infrared (NIR) image to generate an NIR detail layer image and decomposes an RGB image to generate an RGB detail layer image and an RGB base layer image, a weight generator that generates a mixing weight value based on a similarity between high frequency (HF) components of the NIR image and the RGB image, a detail layer mixer that mixes the NIR detail layer image and the RGB detail layer image based on the mixing weight value to generate a mixed RGB detail layer image, a base layer dehazer that removes haze from the RGB base layer image to generate a compensated RGB base layer image, and an adder that adds the mixed RGB detail layer image and the compensated RGB base layer image to generate an output RGB image.
Abstract:
An image haze removing apparatus includes at least a transmission coefficient generator, a low pass filter, a particle size parameter estimator, a transmission coefficient divider and a real image estimator. The transmission coefficient generator generates a transmission coefficient based on a captured image. The low pass filter outputs a low frequency image, which includes a low frequency component of the captured image. The particle size parameter estimator estimates a particle size parameter based on the low frequency image. The transmission coefficient divider divides the transmission coefficient based on the particle size parameter to generate first to third divided transmission coefficients, which correspond to red, green and blue data of the captured image, respectively. The real image estimator estimates a real image by applying the first to third divided transmission coefficients to the red, green and blue data of the captured image, respectively.
Abstract:
In an image processing device, a color transformation circuit is configured to generate a color difference based on a first image of normal exposure and a second image of under exposure. A color fringe detection circuit is configured to detect color fringe in the first image, and to generate color fringe detection information based on the detected color fringe. A weight map formation circuit is configured to generate a weight map based on the color fringe detection information and the color difference. An image fusion circuit is configured to generate a third image, in which the detected color fringe is suppressed, based on the color difference and the weight map.