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Compression of Synthesized Textures

F. Brayner, M. Walter
2010 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images  
These are usually textures with repeating patterns, regular or near-regular ones, and stochastic ones, the exactly types of textures where texture synthesis algorithms perform well.  ...  We introduce a new technique for compression of textures synthesized from samples.  ...  In [28] there is mention in future work of using fractal techniques [29] combined with Image Analogies for compressing textures.  ... 
doi:10.1109/sibgrapi.2010.39 dblp:conf/sibgrapi/BraynerW10 fatcat:tcwnrlg3drdadbqffg2ng7xhsi

Image Super Resolution Using Fractal Coding and Residual Network

Zhen Hua, Haicheng Zhang, Jinjiang Li
2019 Complexity  
Fractal coding techniques are an effective tool for describing image textures.  ...  First, quadtree coding is performed on the image, and the similarity between the range block and the domain block is established to determine the fractal code.  ...  In the image encoding phase, for each range block R i , the best matching domain block D i needs to be searched in the domain block.  ... 
doi:10.1155/2019/9419107 fatcat:kswvswnplfdzvitvpeyevzmt6e

High-dimensional descriptor indexing for large multimedia databases

Eduardo Valle, Matthieu Cord, Sylvie Philipp-Foliguet
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
This technique, based on the simultaneous use of moderate-dimensional space-filling curves, has as main advantages the ability to handle high-dimensional data (100 dimensions and over), to allow the easy  ...  We also test multicurves on the real-world application of image identification for cultural institutions.  ...  The extended-key is used to perform a one-dimensional similarity search, which is straightforward.  ... 
doi:10.1145/1458082.1458181 dblp:conf/cikm/ValleCP08 fatcat:7yontmz6tzdivi22qaxoylcrqi

Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI

Padmaja Grandhe, Sreenivas Reddy Edara, Vasumathi Devara
2018 Biomedical Research  
The images can be visualized in three dimensional (3D) by means of different technique, these 3D techniques are used to improve the view of images.  ...  Converting two dimensional (2D) images into 3D images is a significant part of image application.  ...  The box including method of the fractal geometry was applied on these medical images and the region and selfsimilarity methods were used.  ... 
doi:10.4066/biomedicalresearch.29-17-1723 fatcat:kjkk3hsjmbh2dhdiyc6mjcwzti

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

Parita Oza, Paawan Sharma, Samir Patel, Alessandro Bruno
2021 Journal of Imaging  
The paper's main scope is to let readers embark on a journey through a fully comprehensive description of techniques, strategies and datasets on the topic.  ...  Various imaging modalities, such as mammography, breast MRI, ultrasound and thermography, are used to detect breast cancer.  ...  [59] extracted a range of statistical and structural (local binary pattern, and fractal dimension) features to carry out experimental detection of suspicious regions in mammograms.  ... 
doi:10.3390/jimaging7090190 pmid:34564116 pmcid:PMC8466003 fatcat:2r2va44qe5hzhmc6pfysuzphlu

Descriptive analysis of computational methods for automating mammograms with practical applications [article]

Aparna Bhale, Manish Joshi
2020 arXiv   pre-print
The discussion focuses on research aiming at a variety of applications and automations of mammograms.  ...  Digital mammograms are mammography images available along with the conventional screen-film mammography to make automation of mammograms easier.  ...  The effect of using different sizes of image patches was also presented.  ... 
arXiv:2010.03378v1 fatcat:5mokkfho6ffvbai7rcdpytszj4

Multipath Routing Protocol by Breadth First Search Algorithm in Wireless Mesh Networks

Rekha Patil
2013 IOSR Journal of Computer Engineering  
This approach organizes the nodes and discovers multiple paths using breadth first search algorithm. From multiple paths, the primary path is elected using Expected Forwarding Counter (EFW) metric.  ...  The approach makes use of Expected Forwarding Counter (EFW) metric to elect the primary path. We have evaluated the protocol using NS-2.  ...  Acknowledgement The author(s) would like to thank faculty members and other contributor for their very useful advises.  ... 
doi:10.9790/0661-1360107 fatcat:gd2ulyqagveodduiy7kgh6xena

Interoperability, XML Schema [chapter]

2017 Encyclopedia of GIS  
to ensure that the products it produces best match up with the overall picture.  ...  Because data-hierarchical access structures degenerate at higher dimensions due to overlaps in the hyperspaces that are searched in order to find query matches, the X-tree (Berchtold et al. 1996) reduces  ...  Both the circular scan and the square scan are the most used regular scans. When searching for clusters with unlimited freedom of geometric shape, the power of detection is diminished.  ... 
doi:10.1007/978-3-319-17885-1_100625 fatcat:bgxdhdxa4bewzcggrogz56rdpi

Approximate similarity search for online multimedia services on distributed CPU–GPU platforms

George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo Torres, Wagner Meira, Joel H. Saltz
2013 The VLDB journal  
use the computation platform and minimize response times.  ...  With the increasing popularity of multimedia applications, these services are facing new challenges regarding (i) the very large and growing volumes of data to be indexed/searched and (ii) the necessity  ...  Acknowledgements We would like to express our gratitude to the reviewers for their valuable comments, which helped us to improve our work both in terms of content and presentation. E. Valle  ... 
doi:10.1007/s00778-013-0329-7 fatcat:rpcxwmr5hvdwll73wvvnuxirke

Realtime Caustics Using Distributed Photon Mapping [article]

Johannes Günther, Ingo Wald, Philipp Slusallek
2004 Symposium on Rendering  
One of the major remaining issues is the fast and efficient simulation of caustic illumination, such as e.g. the illumination from a car headlight.  ...  In this paper, we present a detailed analysis of the performance issues of photon mapping together with significant performance improvements for all aspects of the photon mapping technique.  ...  Dmitriev for helpful discussions on selective photon tracing, as well as Georg Demme and Andreas Pomi for helping with the comparison to the physical lamp.  ... 
doi:10.2312/egwr/egsr04/111-121 fatcat:q2ymev573neprdr4iruzgeqcta

A Survey on Machine Learning in COVID-19 Diagnosis

Xing Guo, Yu-Dong Zhang, Siyuan Lu, Zhihai Lu
2022 CMES - Computer Modeling in Engineering & Sciences  
First, the procedure of the diagnosis based on machine learning is introduced in detail, which includes medical data collection, image preprocessing, feature extraction, and image classification.  ...  Although the great achievements in medical images classification in recent years, Corona Virus Disease 2019 images classification based on machine learning still encountered many problems.  ...  [128] proposed a semi-supervised deep learning model based on Mix Match [129] , in which they used labeled and unlabeled chest X-ray images.  ... 
doi:10.32604/cmes.2022.017679 fatcat:hre5zxtekvaevleu335faqilwu

Building Change Detection Using High Resolution Remotely Sensed Data and GIS

Natalia Sofina, Manfred Ehlers
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Numerous methods of image processing have been proposed to automate a detection of changes on the Earth's surface, most of which focus on the comparison of remotely sensed images of the same area acquired  ...  The methodology is based on the integrated analysis of vector data containing information about the original urban layout and remotely sensed image obtained after a catastrophic event.  ...  In the context of texture analysis, the fractal dimension is generally very efficient for decrypting the naturally occurring textures such as water surface, mountains or clouds.  ... 
doi:10.1109/jstars.2016.2542074 fatcat:i6bgd7zgqzgslgjjyuibla5riu

A Comprehensive lossless modified compression in medical application on DICOM CT images

Alka sharm
2013 IOSR Journal of Computer Engineering  
We are using lossless compression technique, one of the method used is HAAR process.  ...  RESULTS AND DISCUSSION HAAR Wavelet approximation is one of the best methods of discrete images.  ...  This paper proposes an algorithm to find the outliers to improve the efficiency of web search engine.  ... 
doi:10.9790/0661-1530107 fatcat:eoyyyi7vmbculctnfqnohxyhue

A virtual auditory environment for investigating the auditory signal processing of realistic sounds

Sylvain Favrot, Jörg M. Buchholz
2008 Journal of the Acoustical Society of America  
Two methods for finding appropriate spectra are: ͑1͒ best rms match with the incoming spectra and ͑2͒ best spectral centroid match.  ...  This paper will concentrate on the results of various algorithms for the estimation of fractal dimension and their relative suitability for bite detection.  ...  To the best of authors knowledge, the effect of using these techniques on recognition performance on the basis of phonemes have not been investigated yet.  ... 
doi:10.1121/1.2936003 fatcat:ontu6yamdvgbnooet5fe36fm74

Analysis of room transfer function and reverberant signal statistics

Eleftheria Georganti, John Mourjopoulos, Finn Jacobsen
2008 Journal of the Acoustical Society of America  
Two methods for finding appropriate spectra are: ͑1͒ best rms match with the incoming spectra and ͑2͒ best spectral centroid match.  ...  This paper will concentrate on the results of various algorithms for the estimation of fractal dimension and their relative suitability for bite detection.  ...  To the best of authors knowledge, the effect of using these techniques on recognition performance on the basis of phonemes have not been investigated yet.  ... 
doi:10.1121/1.2935346 fatcat:lxgnqr6tozajhge3ydet3xomam
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