Proceedings of the \nato Asi on Fractal Image Encoding and Analysis" to Appear in Fractals F Entropy Constrained Fractal Image Coding
نویسنده
چکیده
In this paper we present an entropy constrained fractal coding scheme. In order to get high compression rates, previous fractal coders used hierarchical coding schemes with variable range block sizes. Our scheme uses constant range block sizes, but the complexity of the fractal transformations is adapted to the image contents. The entropy of the fractal code can be signiicantly reduced by introducing geometrical codebooks of variable size and a variable order luminance transformation. We propose a luminance transformation consisting of a uniication of fractal and transform coding. With this transformation both inter-and intra-block redundancy of an image can be exploited to get higher coding gain. The coding results obtained with our new scheme are superior compared to conventional fractal and transform coding schemes.
منابع مشابه
Improving security of double random phase encoding with chaos theory using fractal images
This study presents a new method based on the combination of cryptography and information hiding methods. Firstly, the image is encoded by the Double Random Phase Encoding (DRPE) technique. The real and imaginary parts of the encoded image are subsequently embedded into an enlarged normalized host image. DRPE demands two random phase mask keys to decode the decrypted image at the destination. T...
متن کاملPreferences, Descriptions, and Response Latency to Fractal Images Among Individuals With and Without Schizophrenia
Background: Early simple, low-cost diagnosis of schizophrenia may accelerate the beginning of the treatment process. Here, utilizing the projective tools, including fractal images, are some of the diagnostic aids. Objectives: This study aimed to compare the preferences, descriptions, and response latency to fractal images between schizophrenic and healthy individuals. Materials & Methods: In ...
متن کاملNeural based domain and range pool partitioning using Fractal Coding for nearly lossless Medical Image Compression
This work results from a fractal image compression based on iterated transforms and machine learning modeling. In this work an improved quasi-losses fractal coding scheme is addressed to preserve the rich features of the medical image as the domain blocks and to generate the remaining part of the image from it based on fractal transformations. Machine learning based model is used for improving ...
متن کاملAnalysis of Fractals, Image Compression, Entropy Encoding, Karhunen-Loève Transforms
The purpose of this paper is to show that algorithms in a diverse set of applications may be cast in the context of relations on a finite set of operators in Hilbert space. The Cuntz relations for a finite set of isometries form a prototype of these relations. Such applications as entropy encoding, analysis of correlation matrices (Karhunen-Loève), fractional Brownian motion, and fractals more ...
متن کاملAn Analysis of Fractal Properties in the Iranian Exchange Rate Behavior
The behavior of exchange rate in various exchange markets is not seemingly predictable, while there are different forecasting methods to do so. One of these methods is to use fractals to identify exchange rate behavior. This paper has made attempts to explore the properties of fractals in Iranâs exchange market in order to it can predict and analyze the trend of exchange rate. Accordingly, th...
متن کامل