Abstract: A weighing system and a weighing method are disclosed having uninterrupted weighing functions. A plurality of load cells in the weighing system are arranged so that each load cell has a local small neighborhood, the local small neighborhood being defined by four neighboring points in front, back, left, and right of the load cell and four points on diagonal directions in a matrix. A weighing control module polls the load cells to determine whether there is failed load cell(s), and performs a calculation: W.=f(W1,W2,W3,W4,W5,W6,W7), where f is a non-linear mapping; and W1 . . . W8 represents weighing outputs of load cells corresponding to the eight points in the local small neighborhood so as to calculate an estimated weighing output of the failed load cell.

Abstract: In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Abstract: The present invention relates to a load cell topology network comprising at least one multi-branch cable and a plurality of load cells. Each multi-branch cable comprises at least three connectors and one or more groups of signal lines; each group of signal lines comprise at least three branch signal lines, with one end of each branch signal line connected to at least three connectors described respectively and correspondingly, and the other end of each branch signal line connected to a common node, thereby realizing the interconnection of the same kinds of electrical signals between respective connectors; each connector is adapted to be connected to another multi-branch cable or a load cell. The plurality of load cells are electrically connected by the multi-branch cable to form a topology network.

Abstract: According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; a selecting circuit configured to select a reference image from the input images; a weighting determination circuit configured to determine at least one weighting for each pixel of the input image data based on the selected reference image; an output image determination circuit configured to determine an output image based the determined weightings; and an output circuit configured to output the output image.

Abstract: Embodiments provide a method for processing an input image having a plurality of pixels, wherein each pixel has a pixel position. The method may include determining, for each pixel position, a vector based on the input image; and determining, for each pixel position, a detail value for the pixel position based on the determined vectors at a plurality of neighboring pixel positions within a predetermined neighboring block of the pixel position.

Abstract: In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Abstract: Embodiments provide a method for processing a first image based on a second image, wherein each pixel in the first image has a plurality of color components and has a corresponding pixel in the second image, and wherein each value of a color component in the first image corresponds to a value of a color component in the second image. The method may include deciding, for each color component of a pixel in the first image, whether to modify the value of the color component dependent on a predetermined criterion. The method may further include determining a similarity index between the pixel in the first image and the corresponding pixel in the second image based on, for each color component of the pixel, the value of the color component of the pixel, or if it is decided that the value of the color component of the pixel is to be modified, the corresponding value of the color component in the second image.

Abstract: The present invention relates to a load cell topology network comprising at least one multi-branch cable and a plurality of load cells. Each multi-branch cable comprises at least three connectors and one or more groups of signal lines; each group of signal lines comprise at least three branch signal lines, with one end of each branch signal line connected to at least three connectors described respectively and correspondingly, and the other end of each branch signal line connected to a common node, thereby realizing the interconnection of the same kinds of electrical signals between respective connectors; each connector is adapted to be connected to another multi-branch cable or a load cell. The plurality of load cells are electrically connected by the multi-branch cable to form a topology network.

Abstract: A weighing system and a weighing method are disclosed having uninterrupted weighing functions. A plurality of load cells in the weighing system are arranged so that each load cell has a local small neighborhood, the local small neighborhood being defined by four neighboring points in front, back, left, and right of the load cell and four points on diagonal directions in a matrix. A weighing control module polls the load cells to determine whether there is failed load cell(s), and performs a calculation: W.=f (W1, W2, W3, W4, W5, W6, W7), where f is a non-linear mapping; and W1 . . . W8 represents weighing outputs of load cells corresponding to the eight points in the local small neighborhood so as to calculate an estimated weighing output of the failed load cell.

Abstract: Embodiments provide a method for processing an input image having a plurality of pixels, wherein each pixel has a pixel position. The method may include determining, for each pixel position, a vector based on the input image; and determining, for each pixel position, a detail value for the pixel position based on the determined vectors at a plurality of neighboring pixel positions within a predetermined neighboring block of the pixel position.

Abstract: Embodiments provide a method for processing a first image based on a second image, wherein each pixel in the first image has a plurality of color components and has a corresponding pixel in the second image, and wherein each value of a color component in the first image corresponds to a value of a color component in the second image. The method may include deciding, for each color component of a pixel in the first image, whether to modify the value of the color component dependent on a predetermined criterion. The method may further include determining a similarity index between the pixel in the first image and the corresponding pixel in the second image based on, for each color component of the pixel, the value of the color component of the pixel, or if it is decided that the value of the color component of the pixel is to be modified, the corresponding value of the color component in the second image.