A lossless coding scheme for maps using binary wavelet transform
نویسندگان
چکیده
منابع مشابه
Lossless image compression using binary wavelet transform
A binary wavelet transform (BWT) has several distinct advantages over a real wavelet transform when applied to binary data. No quantisation distortion is introduced and the transform is completely invertible. Since all the operations involved are modulo-2 arithmetic, it is extremely fast. The outstanding qualities of the BWT make it suitable for binary image-processing applications. The BWT, or...
متن کاملChannel adapted multiple description coding scheme using wavelet transform
A challenge of image communication over unreliable channels is to achieve good compression rates and be effective in presence of channel failures. In this work we use the Multiple Description Coding (MDC) techniques, based on Wavelet Transforms, that have been shown to be powerful against channel failures. We propose a bit allocation procedure that dispatch redundancy between the different chan...
متن کاملA High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors
Developments of new classes of efficient compression algorithms, software systems, and hardware for data intensive applications in today's digital health care systems provide timely and meaningful solutions in response to exponentially growing patient information data complexity and associated analysis requirements. Of the different 1D medical signals, electroencephalography (EEG) data is of gr...
متن کاملImage coding using wavelet transform
A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed. This method involves two steps. First, a wavelet transform used in order to obtain a set of biorthogonal subclasses of images: the original image is decomposed at different scales using a pyramidal algorithm architecture. The decomposition is along the vertical and h...
متن کاملAdaptive Wavelet Transform for Lossless Compression using Genetic Algorithm
This paper proposes the adaptive wavelet transform for lossless (reversible) data compression using genetic algorithm (GA). In the proposed method, the lifting scheme (LS), which is the latest implementation method of wavelet transformation, is adopted for lossless compression, and GA optimizes the prediction mechanism used in LS according to the characteristics of the target image data, in ord...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Remote Sensing
سال: 2017
ISSN: 2279-7254
DOI: 10.1080/22797254.2017.1274154