文章基本信息

标题：Comparative Analysis of Various Digital Image Compression Techniques Using Wavelets
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作者：Gaganpreet Kaur ; Sandeep Kaur
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：Image compression is the application of Data compression on digital images. Data compression is the technique to reduce the redundancies in data representation in order to decrease data storage req uirements and hence communication costs. Reducing the storage requirement is equivalent to increasing the capacity of the storage medium and hence communication bandwidth. Thus the development of efficient compression techniques will continue to be a design challenge for future communication systems and advanced multimedia applications. This paper entails the study of various image compression techniques and algorithms. Different techniques for digital image compression have been reviewed and presented that includes DFT, FFT, DCT and DWT. Wavelets , however has an advantage over older techniques that it doesn't have any blocking artifacts as in DCT. It is ea sy to implement and reduces the computation time and resources required. The discrete wavelet transform uses filter banks for the construction of the multiresolutional time-frequency plane. The Discrete Wavelet Transform analyzes the signal at different frequency bands with different resolutions by decomposing the signal into an approximation and detail information. The decomposition of the signal into different frequency bands obtained by successive high pass g[n] and low pass h[n] filtering of the time domain signal. Also, a new algorithm for image compression using Fast Wavelet Transform has been proposed as FWT reduces the problems of bord er distortions in Image Compression.
关键词：Discrete Cosine Transform; Fast Wavelet Transform; Approximation and Detail Coefficients; Border ;Distortion; Redundancy