图像压缩编码
2009年6月15日
题目：A Wavelet Transform and SOFM Based Certificate Image Compression Method
作者：Xueming Qian, Hong Zhu, Ruirui Ji, Qieshi Zhang, Kun Yang
年份：2004
摘要：A compression method is proposed based on the wavelet transform and self-organizing feature mapping (SOFM) neural network, in order to store the certificate image into the two-dimensional barcode, and at the same time, hold the image quality which must satisfy the requirement of true or false identification under high compression rate. The different sub-band coefficients of wavelet transform are quantized by SOFM with different quantization levels. The high efficient compression of the identification (ID) Card image is gained using an adaptive resolution combination method based on sub-block clustering encoding which encodes the sub-band coefficients after quantization. The experimental results show that this method has higher performance than JPEG.
关键词：2D Barcode, Wavelet transform, SOFM neural network, Adaptive resolution, Image compression
文件大小：522K
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题目：10：基于小波变换的指纹图像高信噪比的压缩技术
作者：黄巍 朱虹 梁刚 李建生
年份：
摘要：针对指纹图像在压缩时要求细节信息的尽可能保持的特殊要求，本文提出了一种新的压缩技术，本技术是基于小波变换，将数据的相关冗余进行压缩，实验结果表明，在保证信噪比在98db以上的前提下，压缩比可以达到3：1以上。
关键词：指纹图像，小波变换，高信噪比，压缩
文件大小：660K
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