Hong Kong Applied Science and Technology Research Institute Company, Limited

Ka Man Cheng

Yan Huo

Hon Wah Wong

Chi Keung Fong

Wai Hong Wong

Kar Kin Edwin Lee

Yan Ho Kam

Wan Chi Siu

Yui Lam Chan

Wai Lam Hui

Wai Kuen Cham

Method and apparatus for providing a fast and accurate video coding process are disclosed. After checking the coding history of certain coded video frame units of a video, the order of the inter prediction and the intra prediction is adaptively exchanged for each coding video frame unit of an inter frame. Furthermore, the computations for coding modes in the latter part of the computation order are selectively skipped so as to speed up the coding process without degrading the video quality.

Method and apparatus for coding mode selection

The invention relates to adjusting the quantization parameter in digital video coding. A shift value (QP Shift) is used to adjust the quantization parameter. The shift value is determined in a determining step. The video nature is determined and compared with a threshold in a comparing stepto adjust the shift value adaptively according to the frame type in an adjusting step. The shift value shifts the quantization parameter in a shifting step

Method and apparatus for adaptive quantization in digital video coding

The present invention relates to method and apparatus for improving video quality. The present invention provides a unified loop filter including: a pixel determining unit which determines the type of a pixel based on boundary strength; a similarity transforming unit which transforms a nonlinear filter into a nonlinear similarity-ordered statistics filter; and an integrating unit which integrates the nonlinear similarity-ordered statistics filter with a linear image filtering portion. The unified loop filter is applicable to filter reconstructed frames when an encoder or a decoder is processing a video signal.

Method and apparatus for improving video quality by utilizing a unified loop filter

Methods and apparatuses for color denoising are described. There is provided an image processing method. The method comprises the steps of retrieving chrominance level for a plurality of pixels in a predetermined configuration; computing a weight for each pixel; applying the weight to the chrominance level for each the pixel; summing the weighted chrominance level to output a chrominance level for a center pixel at the center of said predetermined configuration; and repeating the above steps for every pixel per image. The color noise can be reduced while preserving the edge without any edge detection.

Low complexity color de-noising filter

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Hong Kong, China

Ka Man Cheng