Abstract:
The present invention is to provide an image processing apparatus using the difference among scaled images as a layered image and a method thereof, which utilize the Gaussian and Laplacian pyramid theory to convert an original image into a plurality of scaled images of different scales, and the difference among scaled images of two adjacent different scales as a layered image of the corresponding layer, so that the edge and line characteristics of a scene of the original image for each layered image can be displayed in different levels sequentially from a clear level to a vague level, and provide a layered image display interface and an image characteristic editing interface for users to examine each layered image through the layered image display interface and edit or perform special effect to each layered image, so as to simulate different visual effects based on different vision models.
Abstract:
Display methods and interfaces for high dynamic range images. High dynamic range images and corresponding histograms are displayed on a display device. The histogram panel displays low dynamic range and high dynamic range data of the images simultaneously. The low dynamic range and high dynamic range data is brightness level of the image pixels.
Abstract:
The method of selectively rendering graphic objects three-dimensional of the present invention is realized by acquiring a relative position between each pixel of the 2-D graphic object and the outer closed curve vout through the definition of an internal closed curve vin and an outer closed curve vout. Then, by selecting with a mask the area to display 3-D effects, a directional relation is obtained. Next, z-axis parameters corresponding to each pixel are generated with an effect function and a corresponding selective 3-D graphic object is rendered based upon the 2-D graphic object and the z-axis parameters by means of ERM functions.
Abstract:
A method for planning a semiconductor manufacturing process based on users' demands includes the steps of: establishing a genetic algorithm model and inputting data; establishing a fuzzy system and setting one output parameter representing percent difference of each cost function in neighbor generations; setting to have a modulation parameter corresponding to each input parameter for adjusting fuzzy sets of the output parameter; executing genetic algorithm actions; executing fuzzy inference actions; eliminating chromosomes that produce output parameter smaller than a defined lower limit, and the remaining chromosomes that produces the largest output parameter is defined as the optimum chromosome, wherein the genetic algorithm actions stops being executed upon the optimum chromosome; then determining whether or not a defined number of generations has been reached, if yes, executing the optimum chromosome of the last generation; if no, continuing executing the genetic algorithm actions, thereby finding the optimum semiconductor manufacturing process for users.
Abstract:
A method for finding the correlation between tool PM (prevention maintenance) and the product yield of the tool is disclosed. The method uses a moving average method to magnify a curve trend that is formed by the product yield data that is captured during a predetermined days before PM and after PM. The magnified curve trend is shown by a Cumulative sum chart. The Cumulative sum chart is analyzed for informing related workers of the effect between the tool PM and the product yield, so as to accurately estimate PM timing. Thereby, via the method, the effect between the tool PM and the product yield may be determined, which serves as an important reference for workers to execute further PM.
Abstract:
Display methods and interfaces for high dynamic range images. High dynamic range images and corresponding histograms are displayed on a display device. The histogram panel displays low dynamic range and high dynamic range data of the images simultaneously. The low dynamic range and high dynamic range data is brightness level of the image pixels.
Abstract:
A method of HDR image processing and manipulation, including the steps of displaying a first control element for loading of multiple files containing pixel values of differently exposed LDR images, and metadata information including exposure times of the LDR images, displaying thumbnails of the LDR images sorted by the exposure times, displaying a second control element for automatic creation of a camera response function using the pixel values and the exposure times, displaying a first setting element for acquisition of an overall contrast and a set of values determining a first mapping function, and displaying a third control element for construction and displaying of an HDR radiance map by contrast reduction and tone mapping adjustment.
Abstract:
A method to crop image from an irregularly shaped region. A top-left corner of the best cropping rectangle are determined by sequentially scanning the rows of the irregularly shaped region to find out the largest bounding area. By rolling back the largest bonding area from the x or y direction, the bottom-right corner is determined.
Abstract:
A method to crop image from an irregularly shaped region. A top-left corner of the best cropping rectangle are determined by sequentially scanning the rows of the irregularly shaped region to find out the largest bounding area. By rolling back the largest bonding area from the x or y direction, the bottom-right corner is determined.
Abstract:
The present invention is to provide an image processing apparatus using the difference among scaled images as a layered image and a method thereof, which utilize the Gaussian and Laplacian pyramid theory to convert an original image into a plurality of scaled images of different scales, and the difference among scaled images of two adjacent different scales as a layered image of the corresponding layer, so that the edge and line characteristics of a scene of the original image for each layered image can be displayed in different levels sequentially from a clear level to a vague level, and provide a layered image display interface and an image characteristic editing interface for users to examine each layered image through the layered image display interface and edit or perform special effect to each layered image, so as to simulate different visual effects based on different vision models.