Abstract: An infrared crosstalk compensation method includes capturing an original image of a scene, where the original image includes a plurality of original pixels, the original pixels are arranged in a two-dimensional array according to a first axial direction and a second axial direction, and each original pixel has a red subpixel value, a green subpixel value, a blue subpixel value, and an infrared subpixel value. The method further includes: obtaining compensated values of the red, green, blue, and infrared subpixel values according to the original image, a compensation axial direction, a plurality of red, green, blue compensation coefficients corresponding to the compensation axial direction, and compensation equations; and obtaining a compensated image according to the compensated values of the red, green, blue, and infrared subpixel values.

Abstract: An image adjustment method includes: sequentially processing a plurality of pixels in at least one frame, wherein a pixel under processing is a current pixel, the current pixel and multiple adjacent pixels form a current block, and each current block is performed with following operations: reading a grayscale value of each pixel in the current block; determining a region grayscale value and a region variance of the current block according to the grayscale values of the pixels; generating a variance adjustment parameter via a variance adjustment function, wherein the region grayscale value is a variable of the variance adjustment function; generating an adjusted region variance according to the variance adjustment parameter and the region variance; and comparing the adjusted region variance with a variance threshold to determine whether to perform a noise suppression operation on the current pixel.

Abstract: A color-shift calibration method is provided to process an image including pixels, in which an arrangement of the pixels corresponds to a Bayer color filter array and the pixels include first green pixels, second green pixels, red pixels and blue pixels. The color-shift calibration method includes the steps outlined below. A regional gradient change of the first and the second green pixels within a neighboring region corresponding to a target green pixel is calculated. An intensity difference between the first and the second green pixels is calculated. When the regional gradient change is smaller than a gradient threshold and the intensity difference exceeds an intensity threshold range, a pixel calibration is performed on the target green pixel based on the first and the second green pixels.

Abstract: An image compression method and an image compressor are provided. The image compression method compresses the image data based on the fixed-length code (FLC) to generate the compressed data, and includes the following steps: determining whether a characteristic value of the image data meets a condition; encoding only the luminance component of the image data to generate the compressed data when the characteristic value meets the condition; encoding the luminance and chrominance components of the image data to generate the compressed data when the characteristic value does not meet the condition; and storing the compressed data.

Abstract: A contrast adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access and execute the instructions to: access an image with a plurality of pixels, wherein the pixels are corresponding to a plurality of intensity values; generate a histogram based on a distribution of the intensity values in a range from an intensity lower bound to an intensity upper bound; divide the histogram into four sub-histograms based on a median value of the intensity values; enlarge the four sub-histograms based on a predetermined parameter; remap the four sub-histograms to form a gamma curve based on a cumulative distribution function; and apply the gamma curve to pixels of another image.

Abstract: The present invention discloses a defective pixel compensation method and device capable of compensating for defective pixels of an RGBIr sensor. An embodiment of the method includes: determining the type of a sensor; determining a plurality of sample positions according to the type of the sensor and the position of a target pixel; obtaining the values of a plurality of reference pixels in a sampling window according to the sample positions; determining a value range and at least one compensation value(s) according to the values of the reference pixels; determining whether an input value of the target pixel is within the value range; when the input value is within the value range, outputting the input value as an output value of the target pixel; and when the input value is outside the value range, outputting one of the compensation value(s) as the output value of the target pixel.

Abstract: 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.

Abstract: An image processing method and an electronic device thereof are provided. The image processing method includes performing a color processing procedure on the target pixel and correspondingly obtaining a plurality of first processed pixels.

Abstract: Disclosed are a white balance calibration method based on skin color data and an image processing apparatus using the same. By using the method and the image processing apparatus, weight allocation of the skin color data in an input image may be adaptively performed to avoid white balance calibration errors due to excessive skin color data. Therefore, the present disclosure can further solve an issue that in video applications, the white balance calibration is easily interfered by a large amount of the skin color data. Moreover, the present disclosure may be adapted to different color temperatures and may output images having colors closer to actual colors.

Abstract: A background blurred method includes steps as follows: obtaining a color image, an IR light frame image and an IR dark frame image, and calculating a differential image between the IR light frame image and the IR dark frame image to generate a binary image; obtaining a foreground image of the binary image; calculating an IR brightness mean value of the foreground image of the differential image; and filtering the color image to generate a background blurred image according to the IR brightness mean value.

Abstract: Fixed length code (FLC)-based image compression method and device are provided. The FLC-based image compression method for compressing a block containing multiple pixels includes the following steps: determining a first representative pixel and a second representative pixel from the pixels according to the pixel values of the pixels; generating, by interpolation, multiple interpolated pixels according to the first representative pixel and the second representative pixel; generating an index value for each of the pixels according to the first representative pixel, the second representative pixel, and the interpolated pixels; adjusting the first representative pixel and the second representative pixel to generate a first adjusted representative pixel and a second adjusted representative pixel; and using the index values and complete or quantized pixel values of the first adjusted representative pixel and the second adjusted representative pixel to represent the block.

Abstract: An image adjustment method includes: receiving an image, and retrieving R, G and B values and an infrared ray (IR) value from the image; dividing the image into a plurality of blocks; generating initial compensation coefficients respectively corresponding to the R, G, B and IR values for each block within the blocks; and performing following operations upon each block within the blocks: adjusting initial compensation coefficients of a current block according to a plurality of adjacent blocks next to the current block, in order to generate adjusted compensation coefficients of the current block; and using the adjusted compensation coefficients of the current block to perform IR crosstalk compensation upon the current block.

Abstract: The present invention provides an image adjustment method and associated image processing circuit for performing the following operations upon each pixel of an image: obtaining R, G, B values and infrared ray (IR) value corresponding to the current pixel; generating multiple initial compensation parameters corresponding to the R, G, B values; generating an over-compensation parameter according to the R, G, B and IR values; comparing the over-compensation parameter with at least one threshold value to generate a compensation adjustment coefficient; and performing IR crosstalk compensation upon the image with the compensation adjustment coefficient.

Abstract: An image processing method and an electronic apparatus for foreground image extraction include steps: (A) acquiring frame images of a dynamic image, wherein each frame image has an RGB image and an IR image; (B) acquiring an RGB image representing a dark state as an RGB capture image, acquiring an IR image representing a light state as an IR light frame image, and acquiring one IR image representing the dark state as an IR dark frame image; (C) calculating a difference image between the IR light frame image and the IR dark frame image and binarizing the difference image to generate a binarized image; and (D) acquiring a plurality of foreground pixels corresponding to an IR foreground part of the binarized image of the RGB capture image and taking the foreground pixels as the foreground image, thereby reducing the impact of ambient light, background noise and calculation.

Abstract: An image processing method and an image processing device are provided. The image processing method includes capturing a first image of a target irradiated by an infrared light; capturing a second image of the target not irradiated by the infrared light; performing noise suppression and signal enhancement on each of the first image and the second image to generate a first processed image and a second processed image; and processing the first processed image and the second image by a recognition device to recognize the target.

Abstract: Disclosed are an image enhancement method and an image enhancement apparatus which can realize the edge enhancement for an image generated after a demosaicing process according to local characteristics of an input image (i.e. the image sharpening) and can realize the brightness noise suppression and the chroma noise suppression for the image. Thus, by using the image enhancement method and the image enhancement apparatus provided by the present disclosure, clear images can be generated.

Abstract: An infrared crosstalk compensation method includes capturing an original image of a scene, where the original image includes a plurality of original pixels, the original pixels are arranged in a two-dimensional array according to a first axial direction and a second axial direction, and each original pixel has a red subpixel value, a green subpixel value, a blue subpixel value, and an infrared subpixel value. The method further includes: obtaining compensated values of the red, green, blue, and infrared subpixel values according to the original image, a compensation axial direction, a plurality of red, green, blue compensation coefficients corresponding to the compensation axial direction, and compensation equations; and obtaining a compensated image according to the compensated values of the red, green, blue, and infrared subpixel values.

Abstract: A color adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access the instructions to perform the following: accessing an image; providing a control interface having control points distributed thereon, and the plurality of control points defines a plurality of areas on a color plane; in response to one of the control points being moved from a first location to a second location on the color plane, selecting adjusting areas adjacent to the first location, in order to redefine an original chroma in the adjusting areas to an adjusted chroma; and determining whether pixels of the image match the original chroma in the adjusting areas, and displaying the pixels with the adjusted chroma if the pixels are matched to the original chroma.

Abstract: The present disclosure provides an electronic apparatus and an image processing method for image edge enhancement, which adjust each edge pixel located in an image edge of an input image. More specifically, the electronic apparatus and the image processing method adaptively adjust a present pixel that is taken as the edge pixel according to the position of the present pixel in the image edge and the input image, thereby outputting an adjusted pixel value. Accordingly, the electronic apparatus and the image processing method can enhance the image edge according to the actual image condition.

Abstract: Fixed length code (FLC)-based image compression method and device are provided. The FLC-based image compression method for compressing a block containing multiple pixels includes the following steps: determining a first representative pixel and a second representative pixel from the pixels according to the pixel values of the pixels; generating, by interpolation, multiple interpolated pixels according to the first representative pixel and the second representative pixel; generating an index value for each of the pixels according to the first representative pixel, the second representative pixel, and the interpolated pixels; adjusting the first representative pixel and the second representative pixel to generate a first adjusted representative pixel and a second adjusted representative pixel; and using the index values and complete or quantized pixel values of the first adjusted representative pixel and the second adjusted representative pixel to represent the block.