Abstract: A method for producing a polyester polyol is provided, which includes: feeding a first antioxidant and a raw material reactant that includes a polyacid and a polyol into a reactor; subjecting the polyacid and the polyol to an esterification reaction to form an oligomer; and performing a prepolymerization reaction on the oligomer to obtain a prepolymerization reactant. During the prepolymerization reaction, the method includes sampling and monitoring an acid value of the prepolymerization reactant. When the acid value of the prepolymerization reactant reaches a first acid value, an esterification reaction catalyst is added to the prepolymerization reactant for carrying out a polycondensation reaction and generating a polycondensation reactant that contains the polyester polyol. During the polycondensation reaction, the method includes sampling and monitoring an acid value of the polycondensation reactant.

Abstract: A semiconductor device and method of fabricating the same include a substrate, a first epitaxial layer, a first protection layer, and a contact etching stop layer. The substrate includes a PMOS transistor region, and the first epitaxial layer is disposed on the substrate, within the PMOS transistor region. The first protection layer is disposed on the first epitaxial layer, covering surfaces of the first epitaxial layer. The contact etching stop layer is disposed on the first protection layer and the substrate, wherein a portion of the first protection layer is exposed from the contact etching stop layer.

Abstract: A super-resolution image reconstruction method includes acquiring a plurality of raw images, positioning the plurality of raw images, acquiring a plurality of motion vectors, setting image coordinates of a super-resolution image, adjusting image coordinates of the super-resolution image according to the plurality of motion vectors for generating a plurality of updated image coordinates, setting a first image range, adjusting coordinates of a first image range according to the plurality of motion vectors for generating a plurality of updated first image ranges, generating a plurality of second image ranges according to each updated first image range, and generating a reconstructed pixel of the super-resolution image at the image coordinates according to a plurality of weightings, the plurality of updated first image ranges, and the plurality of second image ranges.

Abstract: An auto white balance adjusting method includes determining a local white pixel area and a global white pixel area, selecting a plurality of pixels of an image according to the local white pixel area for generating a local average color value in a first color space, selecting a plurality of pixels of the image according to the global white pixel area for generating a global average color value in the first color space, converting the local average color value into three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve in the second color space, and adjusting a white balance of the image frame by frame to meet the three primary color target gains according to the local average color value and the three primary color gains.

Abstract: Image dewarping includes capturing a source image from a camera, selecting an input row of pixels from the source image, if the input row of pixels comprises a plurality of input pixels in a region of interest in the source image, storing the plurality of input pixels to a memory to generate an input segment of pixels, when a plurality of pixels required to generate an output row of pixels are all stored in the memory, reading from the memory the plurality of pixels corresponding to the output row of pixels, and performing coordinate transformation on the plurality of pixels to generate the output row of pixels, and when coordinate transformation has been completed on the plurality of pixels, releasing from the memory an input segment of pixels of the plurality of input segments of pixels that does not correspond to other output rows of pixels.

Abstract: An auto white balance adjusting method includes determining a white pixel area according to a standard of a first color space, selecting a plurality of pixels of an image according to the white pixel area, generating an average color value of the plurality of pixels in the first color space, converting the average color value in the first color space to three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve, and gradually adjusting a white balance of the image to meet the three primary color target gains according to the average color value in the first color space and the three primary color gains in the second color space. The first color space and the second color space are different.

Abstract: An image color brightness compensation method includes generating image data of a plurality of pixels by using a Bayer color filter of an image sensing unit, generating demosaic image data after the image data of the plurality of pixels is processed by a demosaic process, executing a linear combination process of the demosaic image data by using at least one matrix for generating output image data, processing the output image data by using a blending unit for generating blended image data, generating a brightness compensation gain of the blended image data, and compensating image brightness of the blending image data for generating brightness compensated image data according to the brightness compensation gain.

Abstract: An auto white balance adjusting method includes determining a white pixel area according to a standard of a first color space, selecting a plurality of pixels of an image according to the white pixel area, generating an average color value of the plurality of pixels in the first color space, converting the average color value in the first color space to three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve, and gradually adjusting a white balance of the image to meet the three primary color target gains according to the average color value in the first color space and the three primary color gains in the second color space. The first color space and the second color space are different.

Abstract: An image color brightness compensation method includes generating image data of a plurality of pixels by using a Bayer color filter of an image sensing unit, generating demosaic image data after the image data of the plurality of pixels is processedby a demosaic process, executing a linear combination process of the demosaic image data by using at least one matrix for generating output image data, processing the output image data by using a blending unit for generating blended image data, generating a brightness compensation gain of the blended image data, and compensating image brightness of the blending image data for generating brightness compensated image data according to the brightness compensation gain.

Abstract: A region-based motion detection method and a related monitoring camera device are applied to detect an object's motion on a frame. The region-based motion detection method includes dividing a current frame into a plurality of first template arrays, dividing a first reference frame into a plurality of second template arrays, acquiring characteristic values of one of the first template arrays and a corresponding second template array, comparing the characteristic value of the foresaid first template array with the characteristic value of the corresponding second template array by matching process, and executing motion detection of the current frame according to a matching result.

Abstract: A region-based motion detection method and a related monitoring camera device are applied to detect an object's motion on a frame. The region-based motion detection method includes dividing a current frame into a plurality of first template arrays, dividing a first reference frame into a plurality of second template arrays, acquiring characteristic values of one of the first template arrays and a corresponding second template array, comparing the characteristic value of the foresaid first template array with the characteristic value of the corresponding second template array by matching process, and executing motion detection of the current frame according to a matching result.

Abstract: A touch panel including multiple electrodes is provided. The electrodes form a sensing area and are disposed on a same plane. The sensing area has a first border and a second border that are substantially perpendicular to each other. The electrodes include one parallelogram electrode. The parallelogram electrode has two first sides parallel to the first border and two second sides parallel to neither the first border nor the second border.

Abstract: A method for power saving of display devices is provided. The method includes: while displaying a frame on a display, providing a representative data luma according to a plurality of original data lumas of a plurality of pixels of the frame, mapping a representative data luma value of a frame and a corresponding original drive value to a target display luma value according to the display characteristic, providing a power-saving data luma and a power-saving drive by mapping the target display value to a reference curve to display the frame.

Abstract: A method for adjusting a uniformity of a panel is provided. The panel includes a plurality of blocks. The method includes: comparing whether a color display component of each of the blocks in response to a first input value matches a target component, comparing whether a color characteristic value of each of the blocks in response to a second input value matches a target characteristic value, and providing a corresponding modified second input component and a modified third input component for each of the blocks. The target component is determined according to a plurality of main display components of a plurality of display values corresponding to the blocks, and the target characteristic value is determined according to the plurality of color characteristic values corresponding to the blocks.

Abstract: An image processing apparatus for processing multiple sets of first image data of an image in a first color space is provided. The first color space is defined by multiple color components excluding a saturation component. The image processing apparatus includes a converting module, a gain determining module and an adjusting module. The converting module converts the multiple sets of first image data to multiple sets of image data in a second color space. The second color space is defined by multiple second color components including the saturation component. The gain determining module determines a saturation gain according to a part of the multiple sets of second data associated with the saturation component. The adjusting module adjusts the image according to the saturation gain.

Abstract: An image processing method for determining a motion vector of an interpolated block in a covered/uncovered area of an interpolated picture. The method comprises determining image difference values of successive blocks according to original motion vectors of the successive blocks; determining first and second motion vectors for the successive blocks according to the image difference values, wherein the first and the second motion vector of one of the successive blocks are the original motion vectors of two blocks located in both side of a block having a maximum image difference value; determining a starting point of the interpolated block according to the first and the second motion vectors of the successive blocks; and selecting one of the first and the second motion vectors of the interpolated block as the motion vector of the interpolated block according to the starting point and a starting point in a previous interpolated picture.

Abstract: A color tracking method for a panel and an associated modifying module are provided. A set of measured display values are obtained according to a measurement of the panel by a color meter and the measured display values are modified. Display settings of the panel are then calculated according to the modified display values.

Abstract: A touch panel including multiple electrodes is provided. The electrodes form a sensing area and are disposed on a same plane. The sensing area has a first border and a second border that are substantially perpendicular to each other. The electrodes include one parallelogram electrode. The parallelogram electrode has two first sides parallel to the first border and two second sides parallel to neither the first border nor the second border.

Abstract: A method for power saving of display devices is provided. The method includes: while displaying a frame on a display, providing a representative data luma according to a plurality of original data lumas of a plurality of pixels of the frame, mapping a representative data luma value of a frame and a corresponding original drive value to a target display luma value according to the display characteristic, providing a power-saving data luma and a power-saving drive by mapping the target display value to a reference curve to display the frame.

Abstract: A method for panel color calibration for corresponding a source input to a calibrated input is provided. From color components of the calibrated input, a primary calibrated component and secondary calibrated components are selected to perform a color characteristic value fitting for the calibrated input. In the color characteristic value fitting, the primary calibrated component is kept unchanged and the secondary calibrated components are adjusted, such that a color characteristic value of the calibrated input matches a target characteristic value. A luma comparison is next performed to determine whether a luma corresponding to the calibrated input obtained from the color characteristic value fitting matches a target luma. When a result from the luma comparison is negative, the primary calibrated component of the calibrated input is updated, and the color characteristic value fitting and the luma comparison are iterated accordingly.