Abstract: A fixed length code (FLC)-based image compression method and a device thereof. The method is utilized to compress a block containing plural pixels and includes the following steps: determining a first representative pixel, a second representative pixel and a third representative pixel from the pixels according to pixel values of the pixels, the three representative pixels being noncollinear in a color space to which the pixels correspond; generating plural first interpolated pixels by interpolation according to the first representative pixel and the third representative pixel; generating plural second interpolated pixels by interpolation according to the second representative pixel and the third representative pixel; and generating an index value for each pixel according to the three representative pixels, the first interpolated pixels and the second interpolated pixels.

Abstract: An iris image capturing device, an iris image recognition device and an iris image recognition method are provided. Multiple data sequences are captured, in which each data sequence includes an iris image. These data sequences are selected to be a positioning image or an image to be processed. The positioning image is for locating the iris, and the image to be processed is for generating a protected iris image according to where the iris is located in the positioning image.

Abstract: An electronic device comprising a processing unit and a memory that stores a plurality of program instructions. The processing unit executes the program instructions to perform the following steps: (a) storing pixel data of multiple pixels of a picture in the memory, the number of the pixels being greater than the number of pixels in one horizontal line of the picture; (b) performing an integral image operation on the pixel data to obtain integral image data; (c) storing the integral image data in the memory; (d) using the integral image data to calculate a low-frequency component of a target pixel of the picture; and (e) based on the low-frequency component, selectively performing a temporal noise reduction operation on the target pixel.

Abstract: A method for extracting foreground image and electronic apparatus thereof is provided and implements infrared (IR) technology to perform the foreground image extraction to reduce ambient light effect and background noise. Furthermore, the method and electronic apparatus extract an IR light frame image indicating a light state, an IR dark frame image indicating a dark state, and a color image (e.g., RGB image, YUV image, or etc.) at different IR intensities. Then, the method and electronic apparatus calculate the relationship between the IR light frame image and the IR dark frame image to extract a better background image (including the user's face portion, body portion and hair portion) by a simple algorithm.

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: Disclosed is an image processing method capable of processing facial data and non-facial data differentially. The method is carried out by an image processing device, and includes the following steps: determining a facial region, a non-facial region and a transitional region according to a face detection result of an image, in which the transitional region is between the facial region and the non-facial region; and executing different processes for the data of the facial region, the data of the non-facial region and the data of the transitional region respectively.

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: 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: An image processing method, applied to a device including a sensor and a processor connected to the sensor, the sensor including a plurality of pixels, in which each of the pixels senses three primary colors and an infrared ray of an image, the processor executing the method including: calculating a real response value of the infrared ray without a crosstalk interference from the three primary colors according to the crosstalk interference from the three primary colors to the infrared ray; calculating real response values of the three primary colors without a crosstalk interference from the infrared ray according to the crosstalk interference of the real response value from the infrared ray to the three primary colors; and increasing a brightness of the image according to a brightness of the real response value of the infrared ray and the real response values of the three primary colors.

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 for processing an input image is provided. The image processing method includes the following steps: selecting a pixel of the input image; determining if the pixel is a first image edge according to at least one first calibrated pixel and at least one second pixel in the input image, in which the first calibrated pixel corresponds to at least one first pixel in the input image; and replacing a high frequency component of at least one channel of the pixel with a first calibrating high frequency component to generate a calibrated pixel if the pixel is not the first image edge, and maintaining the pixel as the calibrated pixel if the pixel is the first image edge.

Abstract: An ESD protection apparatus includes first and second parasitic bipolar junction transistors having different majority carriers formed in a substrate and an ESD protection device having a grounding end and a connecting end connected to the first parasitic bipolar junction transistor. When an ESD voltage applied to the ESD protection apparatus is greater than a ground voltage, a first current is grounded by passing through one of a first assembled protecting circuit including the first parasitic bipolar junction transistor and the ESD protection device and a second assembled protecting circuit including the first and the second parasitic bipolar junction transistor; and when an ESD voltage applied to the ESD protection apparatus is less than a ground voltage, a second current coming from a ground is directed to a voltage source by passing through the other one of the first assembled protecting circuit and the second assembled protecting circuit.

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 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: 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: 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: 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: An electronic device comprising a processing unit and a memory that stores a plurality of program instructions. The processing unit executes the program instructions to perform the following steps: (a) storing pixel data of multiple pixels of a picture in the memory, the number of the pixels being greater than the number of pixels in one horizontal line of the picture; (b) performing an integral image operation on the pixel data to obtain integral image data; (c) storing the integral image data in the memory; (d) using the integral image data to calculate a low-frequency component of a target pixel of the picture; and (e) based on the low-frequency component, selectively performing a temporal noise reduction operation on the target pixel.

Abstract: An ESD protection apparatus includes a semiconductor substrate, a first gate structure, a first doping region, a second doping region and a third doping region. The semiconductor substrate has a doping well with a first conductivity one end of which is grounded. The first gate structure is disposed on the doping well. The first doping region having a second conductivity, is disposed in the doping well and adjacent to the first gate structure, and is electrically connected to a pad. The second doping region having the second conductivity is disposed in the doping well and adjacent to the first gate structure. The third doping region having the first conductivity is disposed in the doping well and forms a P/N junction interface with the second doping region, wherein the second doping region and the third doping region respectively have a doping concentration substantially greater than that of the doping well.

Abstract: A semiconductor structure comprises a transistor. The transistor comprises a semiconductor substrate, a first source/drain side doped region, a second source/drain side doped region and a gate structure. The first source/drain side doped region comprises a lower doped portion having a conductivity type opposing to a conductivity type of the semiconductor substrate. The second source/drain side doped region comprises a first doped portion extended downward from an upper surface of the semiconductor substrate. The second source/drain side doped region has a bottom PN junction with the semiconductor substrate. The lower doped portion has a bottom surface below the bottom PN junction. A dopant concentration of the first doped portion is larger than a dopant concentration of the lower doped portion having the same conductivity type with the first doped portion.