1 Abstract— In this paper the Modified Fractal Signature (MFS) method is applied to real Synthetic Aperture Radar (SAR) images provided to our research group by SET 163 Working Group on SAR radar techniques. This method uses the 'blanket' technique to provide useful information for SAR image classification. It is based on the calculation of the volume of a 'blanket', corresponding to the image ...

This paper presents a fusion scheme for Wavelets and Fractal image compression based on the self-similarity of the space-frequency plane of sub-band encoded images. Various kinds of Wavelet transform are examined for the characteristics of their self–similarity and evaluated for the adoption of Fractal modeling. The aim of this paper is to reduce the information of the two sets of blocks involv...

At low bitrate and with acceptable quality in Fractal Image Compression (FIC) of the coded image, the encoding time is very large for most existing algorithms. In this paper, a fast fractal encoding system is proposed using particle swarm optimization (PSO) to reduce the encoding time. Here, an optimization technique is used for the MSE based on the stopping criterion between range block and do...

The objective of the present work is to evaluate the potential of the use of the image fractal dimension as textural feature in a content-based image retrieval system. In order to compare and classify the regions of an image, we have used two distances between two partitions of the image: (1) a classic distance computed with some features (contrast, energy, entropy, homogeneity, correlation) ex...

Fractal image compression is a method to compress images, which significantly reduces the storage keep data of using partial iterated function systems. In this work, we generalize classical fractal graph-directed case.

Because of the great data of the hyperspectral image, it is not good for storage and transmission. To work out a high efficiency compression method for hyperspectral image is essential. Prediction encoding is easy to realize and has been studied widely in the hyperspectral image compression field. High compression ratio, resolution independence and fast decoding speed are the main advantages of...

We describe a novel adaptive wavelet-based compression scheme for images which takes advantage of image redundancy across scales. As with standard wavelet transform coders, our compressed image representation consists of a set of quantized wavelet coeecients and quantized wavelet subtrees. Instead of having a xed sub-tree codebook, however, we construct a codebook from the image being compresse...

In this paper, we propose a scheme of automatic image authentication and recovery, in which the altered region of the image can be detected and recovered in a fully automatic fashion. To achieve high quality image recovery, we choose the region of importance (ROI) in the image and perform fractal encoding for the blocks of ROI. And then we insert the fractal codes of ROI and the watermark into ...