Abstract: A motion detection method using an image processing device may include: based on the noise level of a current frame, obtaining a weighted average of a sum of absolute differences (SAD) value and an absolute difference of sums (ADS) value; setting the weighted average as an initial motion detection value of each pixel; and selectively performing max filtering on motion detection values of the pixels to obtain a final motion detection value.

Abstract: Provided is an image processing apparatus including at least one processor configured to implement a feature point extractor that detects a plurality of feature points in a first image input from an image sensor; a first motion vector extractor that extracts local motion vectors of the plurality of feature points and select effective local motion vectors from among the local motion vectors by applying different algorithms according to zoom magnifications of the image sensor; a second motion vector extractor that extracts a global motion vector by using the effective local motion vectors; and an image stabilizer configured to correct shaking of the first image based on the global motion vector.

Abstract: Provided is an image processing apparatus including at least one processor configured to implement a feature point extractor that detects a plurality of feature points in a first image input from an image sensor; a first motion vector extractor that extracts local motion vectors of the plurality of feature points and select effective local motion vectors from among the local motion vectors by applying different algorithms according to zoom magnifications of the image sensor; a second motion vector extractor that extracts a global motion vector by using the effective local motion vectors; and an image stabilizer configured to correct shaking of the first image based on the global motion vector.

Abstract: Provided are an apparatus and method of reducing noise of an image. The apparatus for reducing noise of an image includes: a motion detector configured to detect a motion from a current image; a weight setting unit configured to set a weight of the current image based on the motion and a weight of a previous image; and a noise reduction unit configured to apply the weight of the current image to the current image to reduce temporal noise of the current image.

Abstract: Provided are an image processing apparatus and method. The image processing apparatus divides an image into a plurality of blocks, and enhances contrast in units of blocks by using a minimum value, a lower average value, an average value, an upper average value, and a maximum value of each block in the image.

Abstract: A motion detection method using an image processing device may include: based on the noise level of a current frame, obtaining a weighted average of a sum of absolute differences (SAD) value and an absolute difference of sums (ADS) value; setting the weighted average as an initial motion detection value of each pixel; and selectively performing max filtering on motion detection values of the pixels to obtain a final motion detection value.

Abstract: Provided are an image processing device and an image enhancing method. The image enhancement method for the image processing device includes: calculating a first minimum value, a first maximum value, and a first average value of a luminance of a region based on a pixel in an image; calculating a first gain with respect to a pixel having a pixel value between the first minimum value and the first average value, and a second gain with respect to a pixel having a pixel value between the first average value and the first maximum value; and calculating a first correction value by correcting the pixel value of the pixel by using the first gain or the second gain according to a result of comparing the pixel value of the pixel with the first average value.

Abstract: Provided are an apparatus and method of reducing noise of an image. The apparatus for reducing noise of an image includes: a motion detector configured to detect a motion from a current image; a weight setting unit configured to set a weight of the current image based on the motion and a weight of a previous image; and a noise reduction unit configured to apply the weight of the current image to the current image to reduce temporal noise of the current image.

Abstract: Provided are an image processing apparatus and method. The image processing apparatus divides an image into a plurality of blocks, and enhances contrast in units of blocks by using a minimum value, a lower average value, an average value, an upper average value, and a maximum value of each block in the image.

Abstract: Provided are an image processing device and an image enhancing method. The image enhancement method for the image processing device includes: calculating a first minimum value, a first maximum value, and a first average value of a luminance of a region based on a pixel in an image; calculating a first gain with respect to a pixel having a pixel value between the first minimum value and the first average value, and a second gain with respect to a pixel having a pixel value between the first average value and the first maximum value; and calculating a first correction value by correcting the pixel value of the pixel by using the first gain or the second gain according to a result of comparing the pixel value of the pixel with the first average value.

Abstract: An apparatus and method for reducing noise of an image are provided. The apparatus includes: a temporal noise reduction unit configured to remove temporal noise from an input frame by adjusting a temporal noise reduction intensity of the input frame based on a pixel-based motion degree and a block-based motion degree that are detected from the input frame and a reference frame and generate a first output frame; and a spatial noise reduction unit configured to remove spatial noise from the first output frame by adjusting a spatial noise reduction intensity of the first output frame based on similarity between peripheral pixels of the first output frame and the pixel-based motion degree and the block-based motion degree, thereby to generate a final output frame.

Abstract: A camera system with a multi-spectral filter array and an image processing method thereof are disclosed. The method of processing an image that is output from an image sensor including a multi-spectral filter array including a color filter and a near infrared (NIR) filter includes interpolating an NIR channel of the image by using spatial information of color channels including a red channel, a green channel, and a blue channel; and interpolating the color channels of the image by using spatial information of the NIR channel.

Abstract: Provided is an image fusion apparatus using a multi-spectral filter array sensor, the image fusion apparatus including a separation unit configured to separate an input image input through the multi-spectral filter array sensor into an RGB image and a near infrared (NIR) image, a color reconstruction unit configured to extract an RGB image in a visible band by removing an NIR value incident together with R, G and B values through the multi-spectral filter array sensor from the R, G and B values, and an image fusion unit configured to fuse the RGB image in the visible band with the NIR image, in which a fusion rate of the RGB image and the NIR image is based on a size of each of the R, G and B values of the RGB image in the visible band.

Abstract: Provided are a method and apparatus for processing an image to remove fog from the image. The apparatus for processing an image includes: a transmission estimation unit configured to calculate a transmission of an input image by synthesizing pixel-based transmissions of current pixels of the current image including a fog component, and block-based transmissions of a plurality of blocks of a previous image, each block including a plurality of pixels; an airlight estimation unit configured to calculate airlight of the input image; and an image restoration unit configured to generate, based on the transmission and the airlight, a restored image in which the fog component is removed from the current image.

Abstract: An apparatus and method for reducing noise of an image are provided. The apparatus includes: a temporal noise reduction unit configured to remove temporal noise from an input frame by adjusting a temporal noise reduction intensity of the input frame based on a pixel-based motion degree and a block-based motion degree that are detected from the input frame and a reference frame and generate a first output frame; and a spatial noise reduction unit configured to remove spatial noise from the first output frame by adjusting a spatial noise reduction intensity of the first output frame based on similarity between peripheral pixels of the first output frame and the pixel-based motion degree and the block-based motion degree, thereby to generate a final output frame.

Abstract: Provided is a method and apparatus for restoring color of an input image. The method includes: separating multiple band information of a near infrared (NIR) channel from information of the input image by using a correlation between a color channel and the NIR channel in the input image; obtaining estimated invisible light band information of the NIR channel from the multiple band information of the NIR channel and estimated multiple band information of the NIR channel which is estimated from the color channel; estimating invisible light band information of the color channel based on the estimated invisible light band information of the NIR channel; and restoring a visible light band image of the color channel by removing the estimated invisible light band information of the color channel from multiple band information of the color channel included in the information of the input image.

Abstract: Provided are a method and apparatus for processing an image to remove fog from the image. The apparatus for processing an image includes: a transmission estimation unit configured to calculate a transmission of an input image by synthesizing pixel-based transmissions of current pixels of the current image including a fog component, and block-based transmissions of a plurality of blocks of a previous image, each block including a plurality of pixels; an airlight estimation unit configured to calculate airlight of the input image; and an image restoration unit configured to generate, based on the transmission and the airlight, a restored image in which the fog component is removed from the current image.

Abstract: A device and method of removing chromatic aberration which occurs in an image generated by capturing a target subject. The chromatic aberration removing device includes a chromatic aberration region detecting unit which detects a chromatic aberration occurrence region in an input image, a coefficient calculating unit which calculates a minimizing pixel value which minimizes a difference between sizes, numbers of pixels or intensities of edges of red, green, and blue (RGB) channels of the chromatic aberration occurrence region, a chroma signal processing unit which removes chromatic aberration in the chromatic aberration occurrence region, and a purple fringing removing unit which removes purple fringing.

Abstract: Provided is an image fusion apparatus using a multi-spectral filter array sensor, the image fusion apparatus including a separation unit configured to separate an input image input through the multi-spectral filter array sensor into an RGB image and a near infrared (NIR) image, a color reconstruction unit configured to extract an RGB image in a visible band by removing an NIR value incident together with R, G and B values through the multi-spectral filter array sensor from the R, G and B values, and an image fusion unit configured to fuse the RGB image in the visible band with the NIR image, in which a fusion rate of the RGB image and the NIR image is based on a size of each of the R, G and B values of the RGB image in the visible band.

Abstract: Provided is a method and apparatus for restoring color of an input image. The method includes: separating multiple band information of a near infrared (NIR) channel from information of the input image by using a correlation between a color channel and the NIR channel in the input image; obtaining estimated invisible light band information of the NIR channel from the multiple band information of the NIR channel and estimated multiple band information of the NIR channel which is estimated from the color channel; estimating invisible light band information of the color channel based on the estimated invisible light band information of the NIR channel; and restoring a visible light band image of the color channel by removing the estimated invisible light band information of the color channel from multiple band information of the color channel included in the information of the input image.