Comparison of Wavelet Filters in Image Coding using Hybrid Compression Technique

被引：0
作者：
Vijayabhaskar, P. V. M. [1 ]
Raajan, N. R. [1 ]
机构：
[1] SASTRA Univ, Sch Elect & Elect Engn, Thanjavur, Tamil Nadu, India
来源：
2013 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN VLSI, EMBEDDED SYSTEM, NANO ELECTRONICS AND TELECOMMUNICATION SYSTEM (ICEVENT 2013) | 2013年
关键词：
Discrete Wavelet Transform; Discrete Cosine Transform; Arithmetic coding;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this, we performed compression of an image by using Hybrid (DWT & DCT) technique. Standard wavelet filters of Haar, Daubechies, Symlets, Coiflets, BiorSplines & ReverseBior were used to estimate compression performance. Generally any Compression method is trying to reduce number of bits per pixel for sufficient representation of image. So memory needed for storing necessary information is reduced & communication efficiency is upgraded. In modern days, the method of image decomposition with the help of wavelets has attained an immense agreement of reputation. Totally standard wavelet filters are compared with 3 different gray images in the encoding section & tabulated the MSE Vs PSNR simulation results. These results offered that, Daubechies (db9) wavelet family produced better results with this Hybrid image compression scheme.
引用
收藏
页数：5
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