IMAGE CLASSIFICATION USING WAVELET WATERMARKING REPRESENTATION

摘要：

In this paper, a novel approach using wavelet watermarking representation for content-based image classification is proposed.The original image is decomposed into wavelet coefficients using discrete wavelet packet decomposition.The energy signatures of most dominant channels are extracted as the image feature, and encoded as a watermark.For minimal loss in image fidelity, the watermark is then embedded in those wavelet coefficients with highest magnitudes except for those in the lowest frequency channel.The image can be retrieved by a simple watermarking detection method.Experimental results show that the proposed method is effective and achieves the best performance of 94.8％ accuracy for image classification.

关键词： Digital watermarking Wavelet packet Content-based image analysis

作者: CHI-MAN PUN

作者单位: Department of Computer and Information Science, University of Macau, Macau S.A.R., CHINA

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1493-1497

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）