Abstract: An imaging system lens assembly includes a first lens group and a second lens group. The first lens group includes a first catadioptric lens element and a second catadioptric lens element, the second lens group includes at least one lens element. Each of an object-side surface and an image-side surface of the first catadioptric lens element and the second catadioptric lens element includes a central region and a peripheral region. The peripheral region of the object-side surface of the first catadioptric lens element includes a first refracting surface. The peripheral region of the image-side surface of the second catadioptric lens element includes a first reflecting surface. The central region of the object-side surface of the first catadioptric lens element includes a second reflecting surface. The central region of the image-side surface of the second catadioptric lens element includes a last refracting surface.

Abstract: A method of fabricating a device includes providing a fin element in a device region and forming a dummy gate over the fin element. In some embodiments, the method further includes forming a source/drain feature within a source/drain region adjacent to the dummy gate. In some cases, the source/drain feature includes a bottom region and a top region contacting the bottom region at an interface interposing the top and bottom regions. In some embodiments, the method further includes performing a plurality of dopant implants into the source/drain feature. In some examples, the plurality of dopant implants includes implantation of a first dopant within the bottom region and implantation of a second dopant within the top region. In some embodiments, the first dopant has a first graded doping profile within the bottom region, and the second dopant has a second graded doping profile within the top region.

Abstract: A display apparatus and an fingerprint sensing method thereof are provided. A display panel of the display apparatus has a pixel circuit array, an in-display touch sensor array, and an in-display fingerprint sensor array. A driving circuit drives the in-display fingerprint sensor array to read a fingerprint image. A current display frame period is divided into a plurality of unit periods, each of the unit periods includes at least one fingerprint sensing period and one or both of a display driving period and a touch sensing period. The driving circuit resets a current fingerprint sensor in the in-display fingerprint sensor array during a first fingerprint sensing period among these fingerprint sensing periods of the first display frame period. The driving circuit reads a sensing result of the current fingerprint sensor during a second fingerprint sensing period succeeding to the first fingerprint sensing period.

Abstract: An image calibration method applied to an image calibration device includes comparing a first image with a second image to acquire a first overlapping region of the first image and a second overlapping region of the second image, analyzing color distribution of the first overlapping region to acquire at least one first base color value, analyzing color distribution of the second overlapping region to acquire at least one second base color value, setting a ratio of the at least one first base color value to the at least one second base color value as an luminance compensation value when the at least one first base color value is greater than the at least one second base color value, and utilizing the luminance compensation value to adjust pixels of the second image. The first overlapping region is overlapped with the second overlapping region.

Abstract: A method and an image processing device for mura detection on a display are proposed. The method includes the following steps. An original image of the display is received and segmented into region of interest (ROI) patches. A predetermined range of spatial frequency components are filtered out from the ROI patches to generate filtered ROI patches. A mura defect is identified from the display according to the filtered ROI patches and predetermined mura patterns.

Abstract: A method for outputting a grayscale data, a driving controller, and a display apparatus are provided. The method includes: in response to receiving a first input grayscale data which is not greater than a first threshold, generating a first output grayscale data without performing a dither computing on the first input grayscale data and outputting the first output grayscale data; in response to receiving a second input grayscale data which is greater than a second threshold, generating a first dithered grayscale data by performing a first dither computing on the second input grayscale data and outputting the first dithered grayscale data as a second output grayscale data. The second threshold is greater than the first threshold, and the second output grayscale data does not comprise any part of the second input grayscale data not processed by the first dither computing.

Abstract: A filter integrated circuit, including an acoustic wave filter chip and a matching circuit, is provided. The acoustic wave filter chip is covered upon a substrate. The matching circuit is disposed on the substrate to provide matching impedance to the acoustic wave filter chip. A first pad and a second pad of the matching circuit are respectively connected to a first signal terminal and a second signal terminal of the acoustic wave filter chip. First terminals of a first coil inductor and a second coil inductor of the matching circuit are respectively connected to the first pad and the second pad of the substrate. The first coil inductor is adjacent to the second coil inductor, so that mutual inductance and parasitic capacitance are formed, so that the matching circuit and the acoustic wave filter chip jointly generate a transmission zero point located in a triple fundamental frequency range.

Abstract: An image processing circuit is provided. The image processing circuit includes a dither computing circuit and a blending circuit. The dither computing circuit performs a dither computing on the input grayscale data to generate a dithered grayscale data. The blending circuit receives the input grayscale data and the dithered grayscale data, generates a blending weight by comparing the input grayscale data with a first threshold, and performs a blending computing on the input grayscale data and the dithered grayscale data based on the blending weight to output an output grayscale data.

Abstract: A day-mode-night-mode switching method is applied to a monitoring camera apparatus or a filter switching module. The monitoring camera apparatus is electrically connected to an supplemental lighting apparatus for light compensation.

Abstract: A method and an image processing device for mura detection on a display are proposed. The method includes the following steps. An original image of the display is received and segmented into region of interest (ROI) patches. A predetermined range of spatial frequency components are filtered out from the ROI patches to generate filtered ROI patches. A mura defect is identified from the display according to the filtered ROI patches and predetermined mura patterns.

Abstract: An exposure compensating method applied to a camera apparatus includes acquiring a monitoring image captured by the camera apparatus via an exposure parameter, computing an estimating exposure compensating value of the monitoring image according to a triggering threshold, analyzing continuity in pixels of the monitoring image with intensity conforming to a specific condition to acquire a weighting adjustment value of a region of interest, adjusting the estimating exposure compensating value via the weighting adjustment value to generate a final exposure compensating value, and adjusting the exposure parameter by the final exposure compensating value.

Abstract: An image calibration method applied to an image calibration device includes comparing a first image with a second image to acquire a first overlapping region of the first image and a second overlapping region of the second image, analyzing color distribution of the first overlapping region to acquire at least one first base color value, analyzing color distribution of the second overlapping region to acquire at least one second base color value, setting a ratio of the at least one first base color value to the at least one second base color value as an luminance compensation value when the at least one first base color value is greater than the at least one second base color value, and utilizing the luminance compensation value to adjust pixels of the second image. The first overlapping region is overlapped with the second overlapping region.

Abstract: A day-mode-night-mode switching method is applied to a monitoring camera apparatus or a filter switching module. The monitoring camera apparatus is electrically connected to an supplemental lighting apparatus for light compensation.

Abstract: An image analyzing method of detecting a dimension of a region of interest inside an image is applied to an image analyzing device. The image analyzing method includes positioning an initial triggering pixel unit within a detective identifying area inside the image, and assigning a first detection region via a center of the initial triggering pixel unit, positioning a first based pixel unit conforming to a first target value inside the first detection region, applying a mask via a center of the first based pixel unit to determine whether a first triggering pixel unit exists inside the mask, and utilizing a determination result of the initial triggering pixel unit and the first triggering pixel unit to decide a maximal dimension of the region of interest.

Abstract: A metering compensation method for effectively increasing visibility of an image is applied to a monitoring camera apparatus. The metering compensation method includes acquiring a histogram of the image, setting a convergent target value and a minimal mapping value, utilizing the convergent target value and the minimal mapping value to set a weighting function, transforming the histogram into a weighted histogram via the weighting function for acquiring an intensity mean of the weighted histogram, and utilizing the convergent target value and the intensity mean to generate a first exposure compensation value. The first exposure compensation value can be used for determining whether to adjust an exposure parameter of the monitoring camera apparatus.

Abstract: An exposure compensating method applied to a camera apparatus includes acquiring a monitoring image captured by the camera apparatus via an exposure parameter, computing an estimating exposure compensating value of the monitoring image according to a triggering threshold, analyzing continuity in pixels of the monitoring image with intensity conforming to a specific condition to acquire a weighting adjustment value of a region of interest, adjusting the estimating exposure compensating value via the weighting adjustment value to generate a final exposure compensating value, and adjusting the exposure parameter by the final exposure compensating value.

Abstract: A protection circuit is disclosed, applied to a display apparatus. The display apparatus includes a voltage level shifter and a plurality of clock signal lines coupled to the voltage level shifter. The protection circuit includes a plurality of switches. At least one of the switches includes a control terminal, an input terminal, and an output terminal. The control terminal is coupled to a first clock signal line in the clock signal lines. The input terminal is coupled to a second clock signal line in the clock signal lines. The control terminal determines, according to a first clock signal provided by the first clock signal line, whether to conduct the input terminal and the output terminal, and the output terminal outputs a second clock signal provided by the second clock signal line.

Abstract: An image analyzing method of detecting a dimension of a region of interest inside an image is applied to an image analyzing device. The image analyzing method includes positioning an initial triggering pixel unit within a detective identifying area inside the image, and assigning a first detection region via a center of the initial triggering pixel unit, positioning a first based pixel unit conforming to a first target value inside the first detection region, applying a mask via a center of the first based pixel unit to determine whether a first triggering pixel unit exists inside the mask, and utilizing a determination result of the initial triggering pixel unit and the first triggering pixel unit to decide a maximal dimension of the region of interest.

Abstract: A metering compensation method for effectively increasing visibility of an image is applied to a monitoring camera apparatus. The metering compensation method includes acquiring a histogram of the image, setting a convergent target value and a minimal mapping value, utilizing the convergent target value and the minimal mapping value to set a weighting function, transforming the histogram into a weighted histogram via the weighting function for acquiring an intensity mean of the weighted histogram, and utilizing the convergent target value and the intensity mean to generate a first exposure compensation value. The first exposure compensation value can be used for determining whether to adjust an exposure parameter of the monitoring camera apparatus.

Abstract: An image capturing device includes a plurality of light emitters, an image capturer, a memory and a processor. The memory stores a target brightness value. The processor controls the light emitters to emit light and controls the image capturer to capture an image. The image is divided into a plurality of areas and the light emitted by each of the light emitters corresponds to one of the areas. The processor calculates a current brightness value of each area and calculates an absolute difference between the current brightness value of each area and the target brightness value. The processor determines whether each absolute difference is larger than a first threshold. According to a determination result, the processor adjusts an exposure parameter of the image capturer or adjusts a light emitting intensity of the light emitter corresponding to the area with the absolute difference larger than the first threshold.