期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 2)
出版社：Ayushmaan Technologies
摘要：In spite of rapid progress in mass storage density, processor speeds, demand for image compression, data storage capacity and datatransmission bandwidth continues to excel the capabilities of the available technologies. Image compression primarily aims at reducing size and space for storing the image data. Modern eye iris image compression and reconstruction procedures used by the US Federal Bureau of Investigation (FBI) are based upon the popular 9/7 discrete wavelet transform. In this paper we have devised a new technique for eye iris image compression based on wave atoms decomposition. Wave atoms decomposition has been designed for augmentation representation of oscillatory patterns to convey temporal and spatial information. In this paper we considered linear vector quantization of decomposed wave atoms representation of eye iris images. Subsequently quantized information is encoded with arithmetic entropy scheme. The proposed method produced better performs than FBI eye iris image compression technique and the wavelet scalar quantization (WSQ).
