Partitioning Complexity Issue for Iterated Functions Systems Based Image Coding
نویسنده
چکیده
This paper copes with the issue of adaptive partitioning in the context of Iterated Functions Systems (IFS) image coding. The main concern is to provide some insights on the optimum degree of partition adaptivity. The key point is to point out the proper balance of information between the partition representation and the transformation parameters of the system. Several systems involving diierent degrees of adaptivity will be compared. To that end a polygonal-based segmentation will be presented. This will allow to compare performances of partitioning using respectively square, rectangular and polygonal segments.
منابع مشابه
Overlapped adaptive partitioning for image coding based on the theory of iterated functions systems
Memoryless blockwise partitioning induces blockiness ar-tifacts highly disturbing to the human visual system. This paper presents a new partitioning with overlapped blocks in the context of image coding based on iterated transformations systems. Each block of the partition is extended by n pixels. As usual each cell is expressed as the contrac-tive transformation of another part of the image. D...
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 کاملImproved Content Aware Image Retargeting Using Strip Partitioning
Based on rapid upsurge in the demand and usage of electronic media devices such as tablets, smart phones, laptops, personal computers, etc. and its different display specifications including the size and shapes, image retargeting became one of the key components of communication technology and internet. The existing techniques in image resizing cannot save the most valuable information of image...
متن کاملWavelet-Based Fractal Transforms for Image Coding with No Search
The compression performance of fractal image coding is considered using the wavelet-based fractal coder with no search or classi cation of the domain blocks. A new partitioning scheme is introduced as a variant of earlier schemes which further improves the compression performance. The Wavelet-Based Fractal Transform (WBFT) links the theory of multiresolution analysis (MRA) with iterated functio...
متن کاملFractal Image Compression and the Inverse Problem of Recurrent Iterated Function Systems
Fractal image compression currently relies on the partitioning of an image into both coarse \domain" segments and ne \range" segments, and for each range element, determines the domain element that best transforms into the range element. Under normal circumstances, this algorithm produces a structure equivalent to a recurrent iterated function system. This equivalence allows recent innovations ...
متن کامل