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An Improved Intra-frame Prediction Mode Selection Algorithm for H.264/AVC |
Liu Jia; Dong Jin-ming |
School of Electronic and Information Engineering, Beihang University, Beijing 100083, China |
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Abstract In this paper, to simplify the computational complexity of intra-frame prediction mode selection for H.264, an improved Intra-frame prediction mode selection algorithm is proposed. Firstly, a new operator is proposed to describe the gray-level info of an image which could be the image complexity degree criterion. Then two QP (Quality Parameter)-based adaptive thresholds are proposed and images can be divided into three kinds: smooth, variability and in fuzzy feature. Intra_16×16 mode is used when the macroblock is smooth, Intra_4×4 mode is used when the macroblock is variability and the original algorithm is used when the macroblock is in fuzzy feature. Experimental results show that the improved algorithm almost has 30% decrement on intra-frame mode selection times, meanwhile the image quality is still good enough with a neglectable rate increase.
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Received: 09 March 2008
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