Huper Laboratories Co., Ltd.

Ming-Kun Wu

Chao-Ho Chen

A method for reducing image noise includes calculating a first pixel amount of pixels that are similar to each other in a first number neighbor of a center pixel in a motion window, determining whether the first pixel amount of pixels that are similar to each other in the first number neighbor is greater than a first predetermined value, and using a mean of those pixels of the first pixel amount of pixels that are similar to each other in the first number neighbor to restore the center pixel of the motion window if the first pixel amount of pixels is greater than the first predetermined value. The method includes determining whether a second pixel amount of pixels that are similar to the center pixel is greater than a second predetermined value if the first pixel amount of pixels is not greater than the first predetermined value.

Image noise reduction method based on local correlation

A method includes calculating a mean of a plurality of pixels of a motion window, calculating a pixel amount of pixels similar to a center pixel, calculating a variance of the pixels, determining whether a difference between the center pixel and the mean is greater than a first predetermined value, determining whether the pixel amount similar to the center pixel is greater than a second predetermined value if the difference between the center pixel and the mean is not greater than the first predetermined value, determining whether the variance is smaller than a threshold value if the pixel amount similar to the center pixel is not greater than the second predetermined value, and filtering the center pixel according to a result of determining whether the variance is smaller than the threshold value. Finally, temporal weighted mean filters involving motion estimation are used for motion compensation in images after spatial filtering.

Growing community of inventors

Kaohsiung County, Taiwan

Ming-Kun Wu