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【期刊论文】A Fast K Nearest Neighbors Classification Algorithm
孙圣和, Jeng-Shyang Pan*+, Yu-Long Qiao*, Nonmember, Sheng-He Sun*, Regular Member
,-0001,():
-1年11月30日
Summary A novel fast KNN classification algorithm is proposed for pattern recognition. The technique uses one important feature, mean of the vector, to reduce the search space in the wavelet domain. Since the proposed algorithm rejects those vectors that are impossible to be the k closest vectors in the design set, it largely reduces the classification time and holds the classification performance as that of the original classification algorithm. The simulation on texture image classification confirms the efficiency of the proposed algorithm.
K Nearest Neighbors,, wavelet transform,, texture image classification
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49浏览
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【期刊论文】Efficient codeword search algorithm based on Hadamard transform
孙圣和, Zhe-Ming Lu, Jeng-Shyang Pan and Sheng-He Sun
,-0001,():
-1年11月30日
A new fast codeword search algorithm for imagc vcctor quantisation (VQ) is introduced. This algorithm performs a fast codeword search in the Hadamard transform (HT) domain using the partial distance search (PDS) technique, Experimental results show that the algorithm needs only 2-3% of the distortion calculations of the exhaustive search method.
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45浏览
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【期刊论文】Fast codeword search algorithm for image coding based on mean-variance pyramids of codewords
孙圣和, J. S. Pan, Z. M. Lu, and S. H. Sun
,-0001,():
-1年11月30日
The fast codeword search algorithm based on the mean pyramids of codewords is currently used in image coding applications. A more efficient algorithm is presented for fast codeword searching which is based on the use of mean-variance pyramids of codewords. Experimental results confirm the effectiveness of the proposed method.
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45浏览
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【期刊论文】Digital image watermarking technique based on vector quantisation
孙圣和, Z. M. Lu and S.H. Sun
,-0001,():
-1年11月30日
A digital image watermarking technique based on vector quantisation (VQ) is presented. This technique uses codeword indices to carry the watermark information. The technique is secret and efficient, and the watermarked image is robust to VQ compression with the same codebook. The simulation results prove the effectiveness of this technique.
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41浏览
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【期刊论文】Image Coding Based on Classified Side-Match Vector Quantization
孙圣和, Zhe-Ming Lu†, Jeng-Shyang PAN††, Nonmembers, and Sheng-He SUN†, Regular Member
,-0001,():
-1年11月30日
The classified side-match vector quantizer, CSMVQ, has already been presented for low-bit-rate image en-coding. It exploits a block classifier to decide which class the input vector belongs to using the variances of the upper and left codewords. However, this block classifier doesn't take the variance of the cnrrcnt input vector itsclf into accounl, This let-ter presents a new CSMVQ in which a two-level block classifier is used to classify input vectors and two diffrent master code-books are used for generating the state codebook according to the variance of the input vcctor. Experimental results prove the cffectivcness of the proposed CSMVQ.
image coding,, image processing,, vector quantizo-tion,, side-match vector quantization
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