Abstract: A method of repairing scratches in a digital image includes counting the number of abnormal pixels among neighboring pixels of a selected pixel. The selected pixels that are surrounded by abnormal pixels in a number greater than a predetermined value are designed as particular pixels. An area surrounding each particular pixel is divided into a plurality of blocks. Furthermore, brightness difference between two of the blocks are calculated. Scratch pixels are found from the particular pixels based on brightness difference between blocks. Then, an area surrounded by scratch pixels are subdivided and filled up. Thereby, the scratch pixels can be precisely found and repaired without the need of hardware.

Abstract: A rapid white balance method for color digital image is disclosed. This method is applied to RGB color regions in an image. First, the image is divided into several blocks to obtain the G parameter, then the averaged R and B parameters of each block, thereby obtaining the R and B parameters of the whole image. Using the R and B parameters, the method obtains an R gain and a B gain. Finally, the image is adjusted. The method only uses one RGB value for each pixel. The processing time is reduced, while the quality of the image is increased.

Abstract: A method of repairing scratches in a digital image includes counting the number of abnormal pixels among neighboring pixels of a selected pixel. The selected pixels that are surrounded by abnormal pixels in a number greater than a predetermined value are designed as particular pixels. An area surrounding each particular pixel is divided into a plurality of blocks. Furthermore, brightness difference between two of the blocks are calculated. Scratch pixels are found from the particular pixels based on brightness difference between blocks. Then, an area surrounded by scratch pixels are subdivided and filled up. Thereby, the scratch pixels can be precisely found and repaired without the need of hardware.

Abstract: A rapid white balance method for color digital image is disclosed. This method is applied to RGB color regions in an image. First, the image is divided into several blocks to obtain the G parameter, then the averaged R and B parameters of each block, thereby obtaining the R and B parameters of the whole image. Using the R and B parameters, the method obtains an R gain and a B gain. Finally, the image is adjusted. The method only uses one RGB value for each pixel. The processing time is reduced, while the quality of the image is increased.