Abstract: A pixel value calibration device comprises: an edge detecting unit to generate edge values according to the target pixel value of a target pixel and the pixel values of neighboring pixels in which the target and neighboring pixels are of a first color and each of them is arranged with pixels of a second color in the same pixel row; a weighted value estimating unit to generate weighted values according to the edge values and an algorithm in which the weighted values are associated with candidate pixels each of which is arranged with pixels of a third color in the same pixel row; a calibration value generating unit to generate a calibration value according to the target pixel value and the pixel value(s) of the candidate pixel(s) plus the weighted value(s) thereof; and a calibrating unit to generate a calibrated pixel value according to the target pixel and calibration values.

Abstract: An image signal processing method includes: receiving an original color filter array (CFA) image and a pixel binned CFA image; computing a specific information of the pixel binned CFA image; and processing the original CFA image according to the specific information. The associated image signal processor includes an input terminal, an operating unit and a processing unit, wherein the input terminal is for receiving an original CFA image and a pixel binned CFA image, the operating unit is for computing a specific information of the pixel binned CFA image, and the processing unit is for processing the original CFA image according to the specific information and utilizing the pixel binned CFA image.

Abstract: An image correction method arranged for processing an original image to obtain a corrected image includes steps: receiving the original image from an image sensor; regarding each pixel of the original image, calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image.

Abstract: A decryption engine includes an update circuit, a key generator, a decryption circuit and a detection circuit. The update circuit generates a first updating information based on a premise of that a currently received frame is encrypted, and generates a second updating information based on a premise of that the currently received frame is non-encrypted. The key generator produces a first key according to the first updating information, and produces a second key according to the second updating information. The decryption circuit generates a first decrypted frame according to the first key and the currently received frame, and generates a second decrypted frame according to the second key and the currently received frame. The detection circuit detects whether the currently received frame is decrypted according to the first decrypted frame and the second decrypted frame, to generate an encryption detection result.

Abstract: A passive auto-focus device and method are disclosed herein. An embodiment of the passive auto-focus device comprises: a focus-searching-range decision circuit operable to compare a range of a variation area of a current scene with a predetermined range and determine a focus-searching range, in which the variation area is defined according to the comparison between the current scene and a preceding scene; a focal-distance-variation decision circuit operable to compare the definition pertaining to the focus-searching range with a first predetermined definition and generate a current step setting value; an image record generating circuit operable to generate first step image records in connection with the focus-searching range while the current step setting value indicates a first step and to generate second step image records in connection with the focus-searching range while the current step setting value indicates a second step, in which the first step is shorter than the second step.

Abstract: A consecutive thin edge detection system and method for enhancing color filter array image is disclosed in the present invention. The consecutive thin edge detection system includes a consecutive thin edge detector, a color gradient estimator and a direction indicator. The consecutive thin edge detector receives a color pixel array including a plurality of color pixels and alternately sets each color pixel as a target pixel. The consecutive thin edge detector detects a difference value between a plurality of first green pixels and a plurality of second green pixels nearby a target pixel, and determines whether the target pixel comprises a consecutive thin edge feature or not according to the difference value. The plurality of first green pixels are in red pixel rows which comprises a plurality red pixels and the plurality of first green pixels, and the plurality of second green pixels are in a blue pixel row which comprises blue pixels and the plurality of second green pixels.

Abstract: A pixel value calibration device comprises: an edge detecting unit to generate edge values according to the target pixel value of a target pixel and the pixel values of neighboring pixels in which the target and neighboring pixels are of a first color and each of them is arranged with pixels of a second color in the same pixel row; a weighted value estimating unit to generate weighted values according to the edge values and an algorithm in which the weighted values are associated with candidate pixels each of which is arranged with pixels of a third color in the same pixel row; a calibration value generating unit to generate a calibration value according to the target pixel value and the pixel value(s) of the candidate pixel(s) plus the weighted value(s) thereof; and a calibrating unit to generate a calibrated pixel value according to the target pixel and calibration values.

Abstract: A white balance adjusting method with scene detection comprises: receiving source image data corresponding to a plurality of sensing units; generating an initial white balance gain according to the source image data; generating an image parameter corresponding to a plurality of parameter elements according to the source image data; determining whether a preset condition is satisfied according to the image parameter to generate a decision result; determining whether the source image data are associated with any of built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule; and if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with it.

Abstract: A false color reduction system and method for color interpolation is disclosed in the present invention. The false color reduction system includes a red/blue color interpolation signal reference level estimator, a red/blue color interpolation signal noise analyzer and a red/blue color interpolation signal noise regulator. The red/blue color interpolation signal reference level estimator receives a RGB image array and a red/blue color interpolation signal of the RGB image array, and calculates a difference value between a green target pixel or a green interpolation pixel corresponding to a red/blue target pixel of the RGB image array and an average value of a plurality of green pixels nearby the green target pixel or the green interpolation pixel to generate a green difference signal.

Abstract: A consecutive thin edge detection system and method for enhancing color filter array image is disclosed in the present invention. The consecutive thin edge detection system includes a consecutive thin edge detector, a color gradient estimator and a direction indicator. The consecutive thin edge detector receives a color pixel array including a plurality of color pixels and alternately sets each color pixel as a target pixel. The consecutive thin edge detector detects a difference value between a plurality of first green pixels and a plurality of second green pixels nearby a target pixel, and determines whether the target pixel comprises a consecutive thin edge feature or not according to the difference value. The plurality of first green pixels are in red pixel rows which comprises a plurality red pixels and the plurality of first green pixels, and the plurality of second green pixels are in a blue pixel row which comprises blue pixels and the plurality of second green pixels.

Abstract: An image processing method includes: receiving image data from a frame buffer, wherein each pixel of the image data has only one color information; estimating four second color information corresponding to up, down, left, and right sides of the target pixel respectively according to a first color information of the target pixel per se and color information of the neighboring pixels for a target pixel of the image data; calculating four color difference gradients corresponding to up, down, left, and right sides of the target pixel respectively according to the four second color information of the target pixel; determining an edge texture characteristic of the target pixel according to the four color difference gradients of the target pixel; and determining whether to modify the bit value of the first color information of the target pixel stored in a frame buffer according to an edge texture characteristic of the target pixel.

Abstract: The present invention relates to a sensor chip for biomedical and micro-nano structured substances and a method for manufacturing the same. The sensor chip includes plural metal nanoparticles and a porous anodized aluminum oxide film. The plural metal nanoparticles are completely contained in holes of the porous anodized aluminum oxide film and located at the bottom of the holes, and an aluminum oxide layer covering the second end of the holes has a thickness of 1 nm to 300 nm. When analytes such as biomedical molecules are provided in contact with the sensor chip, a Raman signal can be detected based on the Raman spectroscopy. The structure of the sensor chip of the present invention is uncomplicated and the manufacturing steps thereof are simple, and therefore the sensor chip of the present invention is of great commercial value. Also, a method of manufacturing the above sensor chip is disclosed.

Abstract: An image processing method includes: receiving image data from a frame buffer, wherein each pixel of the image data has only one color information; estimating four second color information corresponding to up, down, left, and right sides of the target pixel respectively according to a first color information of the target pixel per se and color information of the neighboring pixels for a target pixel of the image data; calculating four color difference gradients corresponding to up, down, left, and right sides of the target pixel respectively according to the four second color information of the target pixel; determining an edge texture characteristic of the target pixel according to the four color difference gradients of the target pixel; and determining whether to modify the bit value of the first color information of the target pixel stored in a frame buffer according to an edge texture characteristic of the target pixel.

Abstract: An image correction method arranged for processing an original image to obtain a corrected image includes steps: receiving the original image from an image sensor; regarding each pixel of the original image, calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image.

Abstract: A white balance adjusting method with scene detection comprises: receiving source image data corresponding to a plurality of sensing units; generating an initial white balance gain according to the source image data; generating an image parameter corresponding to a plurality of parameter elements according to the source image data; determining whether a preset condition is satisfied according to the image parameter to generate a decision result; determining whether the source image data are associated with any of built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule; and if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with it.

Abstract: An image processing method of noise reduction and an apparatus thereof are disclosed herein. In the image processing method, a current image having a plurality of image blocks is provided. A first block of the image blocks of the current image is substrate by the first block of at least one previous image for obtaining a difference block. Next, the difference block is performed on a motion detection process for determining whether the first block of the current image is in a static state. When the first block of the current image is in the static state, the first block of the current image is performed on a temporal filtering process for reducing the noise. By analyzing the static state, occurrence of motion blur can be prevented.

Abstract: The present invention relates to a sensor chip for biomedical and micro-nano structured substances and a method for manufacturing the same. The sensor chip includes plural metal nanoparticles and a porous anodized aluminum oxide film. The plural metal nanoparticles are completely contained in holes of the porous anodized aluminum oxide film and located at the bottom of the holes, and an aluminum oxide layer covering the second end of the holes has a thickness of 1 nm to 300 nm. When analytes such as biomedical molecules are provided in contact with the sensor chip, a Raman signal can be detected based on the Raman spectroscopy. The structure of the sensor chip of the present invention is uncomplicated and the manufacturing steps thereof are simple, and therefore the sensor chip of the present invention is of great commercial value. Also, a method of manufacturing the above sensor chip is disclosed.

Abstract: An image processing method of noise reduction and an apparatus thereof are disclosed herein. In the image processing method, a current image having a plurality of image blocks is provided. A first block of the image blocks of the current image is substrate by the first block of at least one previous image for obtaining a difference block. Next, the difference block is performed on a motion detection process for determining whether the first block of the current image is in a static state. When the first block of the current image is in the static state, the first block of the current image is performed on a temporal filtering process for reducing the noise. By analyzing the static state, occurrence of motion blur can be prevented.

Abstract: A lamp holder includes a housing with an upper and a lower compartment. The upper compartment contains a fixed clamp block and a movable clamp block which can be moved away from and towards the first clamp block by means of a spring biased push member. The clamp blocks confine a cavity for receiving and clamping the lamp seat of a lamp. The lamp can be easily mounted on the lamp holder by simply pushing and releasing the push member.