منابع مشابه
Application of Hybrid Fractal Image Compression Method for Aerial Photographs
This paper proposes a method to improve the performance of Fractal lmage Compression (FIC) technique by combining FIC (lossy compression) and another lossless method (in this case Huffman coding is used). This proposed method takes advantage on each techniques, the high compression ratio that can be provided by FIC and the infinite peak-to-peak signal to-noise ratio (PSNR) that can be provided ...
متن کاملHybrid Fractal-Wavelet Method for Multi-Channel EEG Signal Compression
In this paper, a hybrid method is proposed for multi-channel electroencephalograms (EEG) signal compression. This new method takes advantage of two different compression techniques: fractal and wavelet-based coding. First, an effective decorrelation is performed through the principal component analysis of different channels to efficiently compress the multi-channel EEG data. Then, the decorrela...
متن کاملHybrid image compression with implicit fractal terms
The performance of any block based image coder can be improved by applying fractal terms to selected blocks. Two novel methods are used to achieve this. Firstly the coder determines whether a local fractal term will improve each image block by examining its rate/distortion contribution, so that only beneficial fractal terms are used. Secondly, the decoder deduces the offset parameters for the l...
متن کاملHybrid Image Compression Using Fractal-Wavelet Prediction
Based on the standard fractal transformation in the spatial domain, simple relations may be found relating coefficients in detail(high-pass) subbands in the wavelet domain. In this paper, we devise a hybrid image compression using fractal-wavelet prediction where the causal similarity among blocks of different subbands in a wavelet decomposition of the image is exploited. The proposed coding sc...
متن کاملHybrid Fractal Image Compression for Satellite Images
9 Abstract— In this paper, we present a hybrid fractal image compression method for satellite images. The proposed algorithm uses entropy and arithmetic coding. The satellite image is decomposed into low frequency sub-band and high frequency sub-band. The low frequency sub-band uses fractal coding, thus making the low-frequency information loss less which is sensitive to human visual system. ...
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: Computers & Mathematics with Applications
سال: 2005
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2004.11.019