Abstract:
A system for localizing an acoustic source is provided. This system includes a microphone apparatus, an audio processing apparatus, a photographing apparatus, and a decision apparatus. The microphone apparatus receives an acoustic signal and generates at least one received audio signal. The audio processing apparatus generates first location information based on the at least one received audio signal. The decision apparatus generates depth information based on at least one image captured by the photographing apparatus. According to the first location information, the at least one captured image, and the depth information, the decision apparatus determines a location corresponding to the source of the acoustic signal.
Abstract:
A system for localizing an acoustic source is provided. This system includes a microphone apparatus, an audio processing apparatus, a photographing apparatus, and a decision apparatus. The microphone apparatus receives an acoustic signal and generates at least one received audio signal. The audio processing apparatus generates first location information based on the at least one received audio signal. The decision apparatus generates depth information based on at least one image captured by the photographing apparatus. According to the first location information, the at least one captured image, and the depth information, the decision apparatus determines a location corresponding to the source of the acoustic signal.
Abstract:
The invention discloses an image presenting method for generating an image to meet a lenticular sheet of a particular specification. The method includes the following steps: providing a database where at least one lenticular sheet data and at least one alignment pattern data are stored; reading out a lenticular sheet data and an alignment pattern data from the database; processing an image data and the alignment pattern data according to the lenticular sheet data; combining the image data and the alignment pattern data to generate a mixed image which meets the lenticular sheet of the particular specification; and outputting the mixed image.
Abstract:
The present invention relates to a color interpolation method for Bayer filter array images. The method first inputs a 3×3 Bayer pattern block with a center pixel. Next, a color filter interpolation case is determined according to the type of the center pixel. Next, Bayer pixel averages and Bayer pixel differences in horizontal and vertical directions of the color filter interpolation case are obtained. Next, missing color components of the center pixel are interpolated in both horizontal and vertical directions. Next, color differences in the horizontal and vertical directions are obtained based on the Bayer pixel differences and averages. Next, a pixel activity of the 3×3 Bayer pixel block is determined. Finally, interpolated color components in the direction of lower color differences are selected, when the pixel activity is high.
Abstract:
A method for scaling a digital picture to generate a scaled picture including following steps:(a) scaling a portion of the digital picture instead of the whole digital picture in a first direction; (b) scaling part of the data produced in step (a) in a second direction; and (c) repeating steps (a) and (b) to form the scaled picture.
Abstract:
The present invention describes a method for square root computation, in which a shift-comparison operation is introduced into the computation process so as to obtain correction factors and adjusting factors. The bits of the correction factors are shifted to form estimation terms, and then the adjusting factors are used to correct the estimation terms to obtain the square root. The present invention is advantageous in both high speed for real-time operations and high accuracy.
Abstract:
A method for decimating a first image data filtered by a Bayer pattern color filter array. The first image data includes a plurality of patterns arrayed in a matrix. Each pattern includes a first color pixel. The method includes providing first color pixel weighting values of the plurality of patterns of the first image data, and summing up the first color pixel weighting values to generate a first color pixel of a second image data decimated from the first image data.
Abstract:
A method for adjusting sharpness and brightness of a digital image. In this method, an image function is first inputted into a processor. The image function comprises a plurality of control parameters. Next, the control parameter values of the control parameters are set, and then each of the pixels is sequentially leaded into the image function according to the control parameter value so as to perform the corresponding operation for adjusting the sharpness and brightness of the image. Finally, the adjusted image is outputted. Therefore, the two processes in the prior art, one for adjusting the brightness, the other for the sharpness, are merged into one process so that the design of the hardware circuit is simplified and the required memory space is reduced.
Abstract:
A method for scaling a digital picture to generate a scaled picture including following steps:(a) scaling a portion of the digital picture instead of the whole digital picture in a first direction; (b) scaling part of the data produced in step (a) in a second direction; and (c) repeating steps (a) and (b) to form the scaled picture.
Abstract:
A method for a 3:2 pull-down film source detection. First, a source is received. Then, field differences of two fields of the same type in the source and an average field difference according to the field difference corresponding to at least one prior field in the source are calculated. The source is established as a 3:2 pull-down film source by checking whether a 3:2 pull-down signature is in the source according to the field difference and the average field difference, and a bad editing point is detected according to an interlaced frame information of the source.