Abstract:
A method for detecting dynamic video pixels by using adaptive counter threshold values according to field difference value of the frame in the video, thereby to determine whether the frame is an interlaced frame or a progressive frame and to eliminate incorrect judgements resulting from field difference and to improve accuracy of frame determination.
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:
The invention relates to a method for detecting video frame types with median filtering, which proceeds a denoising step after caculating the comb factor of each pixel, to avoid incorrect judgment of the frame type resulting from excessive field difference and improve detection accuracy.
Abstract:
A method for motion pixel detection with a static counter map so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process, respectively.
Abstract:
A digital picture processing method for mainly partitioning an inputted picture into a plurality of blocks and then separately performing a deblocking process and a deringing process on each of the blocks so as to reduce the required memory space and to instantaneously process the data.
Abstract:
A method for motion pixel detection with adaptive thresholds, according to the global motion information among the reference video fields, so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process. If the amount of motion among the reference fields is large, there is high motion information among the reference fields, so the threshold is set to be small; if the amount is small, there is less motion information between the reference fields, and so the threshold should be set to be large.