1. ABSTRACT Fractal coding is gaining in popularity as an efficient still-image coder. One drawback of conventional block-based fractal coders, however, is that they do not offer progressive image transmission. This paper proposes two new methods by which fractal image coders can progressively transmit the image data. The first method, the transmission-sequence-based fractal coder (TSFC), progr...

ractal geometry provides a basis for modF eling the infinite detail found in nature. Fractal methods are quite popular in computer graphics for modeling natural phenomena such as mountains, clouds, and many kinds of plants. Linear fractal models such as the iterated function system (IFS), recurrent iterated function system (RIFS), and Lindenmeyer systern (L-system) concisely describe complex ob...

Fractal geometry has sparked considerable interest for analyzing remote sensing imageries. Fractal models have been used in several image processing and pattern recognition applications such as texture analysis and classification. Applications of fractal geometry in remote sensing rely heavily on estimation of the fractal dimension (D). When land areas are clustered into groups of similar land ...

This paper presents the fractal interpolation method of the human retina image. In the first part, we focus on the segmentation image with Skeletonization and identify different types of pixels. Secondly, using Douglas-Peucker algorithm to reduce the number of pixels in the image we try to keep a form close to the original. then, we used fractal interpolation( IFS ) to decompress the encoded im...

This paper introduces evolutionary computing to frac-tal image compression. In fractal image compression 1] a partitioning of the image into ranges is required. We propose to use evolutionary computing to nd good partitionings. Here ranges are connected sets of small square image blocks. Populations consist of N p conng-urations, each of which is a partitioning with a fractal code. In the evolu...

In this dissertation, the problem of the construction of Fractal Interpolation Surfaces and their application in image compression is studied. We give exact conditions, so that this construction is valid and we introduce some free parameters that make our model as flexible as possible. In addition, we compute the box-counting dimension of a Fractal Interpolation Surface. Finally, we give a new ...

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...

Fractal techniques for image compression have recently attracted a great deal of attention. Fractal image compression is a relatively recent technique based on the representation of an image by a contractive transform, on the space of images, for which the fixed point is close to the original image. This broad principle encompasses a very wide variety of coding schemes, many of which have been ...

Texture is the important spatial structure information and primary feature of remote sensing imagery. It contains the surface information of imagery and the relationship with around environment. Firstly focusing on the basic principle of fractal, this paper adopts five different kinds of fractal algorithms to calculate the fractal dimensions of image texture towards the researching image, and g...

This paper presents the hardware architecture for fractal image compression (FIC) with quadtree partitioning. Fractal image coding with quadtree partitioning allows one to produce higher quality of image. Processing image areas of different complexity with image blocks of varying size enables proper exploration of image details. Additionally, exploiting parallelism present within the algorithm ...