Open AccessPosted Content
Color Image Compression Based On Wavelet Packet Best Tree
TLDR
It is proposed that proper selection of mother wavelet on the basis of nature of images, improve the quality as well as compression ratio remarkably, and the enhanced run length encoding technique is suggested provides better results than RLE.Abstract:
In Image Compression, the researchers’ aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of image compression. The result of the compression changes as per the basis and tap of the wavelet used. It is proposed that proper selection of mother wavelet on the basis of nature of images, improve the quality as well as compression ratio remarkably. We suggest the novel technique, which is based on wavelet packet best tree based on Threshold Entropy with enhanced run-length encoding. This method reduces the time complexity of wavelet packets decomposition as complete tree is not decomposed. Our algorithm selects the sub-bands, which include significant information based on threshold entropy. The enhanced run length encoding technique is suggested provides better results than RLE. The result when compared with JPEG-2000 proves to be better.read more
Citations
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Image Compression Using Discrete Wavelet Transform
TL;DR: Experimental results demonstrate that the proposed technique provides sufficient high compression ratios compared to other compression techniques.
Journal Article
A Hybrid Image Compression Scheme Using DCT and Fractal Image Compression
TL;DR: A combination of DCT and fractal image compression techniques is proposed, employed to compress the color image while the fractal images compression is employed to evade the repetitive compressions of analogous blocks.
Proceedings ArticleDOI
Enhanced Image Compression Using Fractal and Tree Seed-Bio Inspired Algorithm
TL;DR: In this article, the authors apply the Tree Seed Algorithm as a characteristic enlivened high-level algorithm to improve the performance of fractal image compression (FIC).
Journal ArticleDOI
Lossless Image Compression Techniques: A State-of-the-Art Survey
Md. Atiqur Rahman,Mohamed Hamada +1 more
TL;DR: This paper presents a detailed analysis of run-length, entropy and dictionary based lossless image compression algorithms with a common numeric example for a clear comparison and measures the performance of the state-of-the-art techniques.
Proceedings ArticleDOI
Compression efficiency for combining different embedded image compression techniques with Huffman encoding
Sure Srikanth,Sukadev Meher +1 more
TL;DR: Modified SPIHT algorithm and the preprocessing techniques provide significant quality reconstruction at the decoder with little additional computational complexity as compared to the previous techniques.
References
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Data Compression Book
TL;DR: In this article, the authors present a guide to data compression techniques, including Shannon-Fano and Huffman coding techniques, lossy compression, JPEG compression algorithm, and fractal compression.
Book
The Data Compression Book
TL;DR: In this paper, the authors present a guide to data compression techniques, including Shannon-Fano and Huffman coding techniques, lossy compression, JPEG compression algorithm, and fractal compression.
Image Compression Using the Discrete Cosine Transform
TL;DR: Some simple functions to compute the discrete cosine transform and how it is used for image compression are developed to illustrate the use of Mathematica in image processing and to provide the reader with the basic tools for further exploration of this subject.
Journal ArticleDOI
Image coding based on a morphological representation of wavelet data
TL;DR: These proposed algorithms, while achieving nearly the same objective performance of state-of-the-art zerotree based methods, are able to produce reconstructions of a somewhat superior perceptual quality, due to a property of joint compression and noise reduction they exhibit.
Journal ArticleDOI
Image compression—from DCT to wavelets: a review
TL;DR: The recent growth of data intensive multimedia-based web applications have not only sustained the need for more efficient ways to encode signals and images but have made compression of such signals central to storage and communication technology.