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46.288  Articles
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Image processing is widely used in the domain of biomedical engineering especially for compression of clinical images. Clinical diagnosis receives high importance which involves handling patient’s data more accurately and wisely when treating patients rem... see more

Lossless image compression has long been recognised as an important need for several applications such as medical imaging, storage of critical IR image sequences, and remote sensing. In this paper, a simple, fast and easy to realisable-on-hardware lossles... see more

In this research, the algorithm used to compress images is using the haar wavelet transformation method and the discrete wavelet transform algorithm. The image compression based on Wavelet Wavelet transform uses a calculation system with decomposition wit... see more

This paper demonstrates an application of discrete wavelet transform as a feature extractor as applicable to natural language processing. The procedure discussed in this paper extracts important features of the printed characters of Gujarati and Amharic s... see more

This paper is a methodological review paper on image compression using Burrows Wheeler Transform. Normally BWT is used for text compression but it has been recently applied to image compression field. Basically it is a lossless compression technique which... see more

Aiming at saving energy and maximizing the network life cycle, the multi-node cooperative image acquisition and compression technology in Wireless Multimedia Sensor Networks(WMSNs) is studied deeply. The Minimum Energy Image Collection (MEIC) problem for ... see more

This paper investigates image data compression as it is applicable to different fields of image processing, in order to reduce the volume of pictorial data which one may need to store or transmit, The research modifies a method for image data compression ... see more

New partial encryption schemes are proposed, in which a secure encryption algorithm is used to encrypt only part of the compressed data. Partial encryption applied after application of image compression algorithm. Only 0.0244%-25% of the original data ise... see more

There are many attempts tried to improve the encoding stage of FIC because it consumed time. These attempts worked by reducing size of the search pool for pair range-domain matching but most of them led to get a bad quality, or a lower compression ratio o... see more

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