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Digital Image Compression Techniques
Majid Rabbani,Paul W. Jones +1 more
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The article was published on 1991-02-01 and is currently open access. It has received 581 citations till now. The article focuses on the topics: Digital image & Information theory.read more
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A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
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Introduction to data compression
TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.
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Wavelet Transforms That Map Integers to Integers
TL;DR: Two approaches to build integer to integer wavelet transforms are presented and the precoder of Laroiaet al., used in information transmission, is adapted and combined with expansion factors for the high and low pass band in subband filtering.
Journal ArticleDOI
BIRCH: A New Data Clustering Algorithm and Its Applications
TL;DR: An efficient and scalable data clustering method is proposed, based on a new in-memory data structure called CF-tree, which serves as an in- memory summary of the data distribution, and implemented in a system called BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies), and compared with other available methods.
Journal ArticleDOI
An image multiresolution representation for lossless and lossy compression
Amir Said,William A. Pearlman +1 more
TL;DR: A new image multiresolution transform that is suited for both lossless (reversible) and lossy compression, and entropy obtained with the new transform is smaller than that obtained with predictive coding of similar complexity.