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A Decision Boundary Based Discretization Technique Using Resampling

Taimur Qureshi, Djamel A Zighed
2009 Zenodo  
In this paper, we introduce a technique by using resampling (such as bootstrap) to generate a set of candidate discretization points and thus, improving the discretization quality by providing a better  ...  Thus, the goal of this paper is to observe whether the resampling technique can lead to better discretization points, which opens up a new paradigm to construction of soft decision trees.  ...  Our Resampling based approach tends to give a better data distribution estimate in terms of achieving better discretization quality.  ... 
doi:10.5281/zenodo.1060698 fatcat:yetbs35dqzdzrbcf4eah76x564

Evaluation of DWT based image Fusion with three Different Resampling Methods
IARJSET - Science, Engineering and Technology

G. Mamatha, M.V. Lakshmaiah, V. Sumalatha
2015 IARJSET  
Popularly known basic interpolation techniques are nearest neighbor, bilinear and bicubic. These resampled MS and PAN images are fused by using Discrete Wavelet Transformations (DWT) technique.  ...  This pre-processing may include registration and resampling of the MS and PAN images. Image Resampling is the mathematical technique used to alter the scale of an image.  ...  Compare with nearest neighbor and bilinear resampled image Bi-cubic resampling technique provides better results for all parameters. Hence it is recommended for resampling.  ... 
doi:10.17148/iarjset.2015.2202 fatcat:3knep27z55drjiiaprhqhnckxm


P.B. Chopade, P. N. Kota
2021 Information Technology in Industry  
We proposes a technique in which discrete wavelet transform and stationary wavelet transform using DICWF which is used to obtain a high resolution image and this image is derived from frequency subbands  ...  In this paper, image resolution enhancements for satellite images are proposed using dyadic integer coefficients based wavelet filter (DICWF).  ...  Acknowledgments The authors wish to thanks MES's college of engineering Pune for the constant support and encouragement and Savitribai Phule Pune University, Pune.  ... 
doi:10.17762/itii.v9i1.225 fatcat:2qlor2cxfbhrjg4us5liay4hdm

Interpolation Techniques in Image Resampling

Manjunatha. S Malini, M Patil
2018 International Journal of Engineering & Technology  
This paper gives comparative study of different resampling techniques like Cubic Splines, Nearest Neighbor, Cubic convolution and Linear Interpolation, which can be used as detectors for an altered image  ...  Because of it the changes is going to happen in certain characteristics of the image and it is going leaving behind periodical artifacts which are used as fingerprints for the forensics.  ...  The authors also thank J S S Academy of technical Education for providing the facilities to carry out the research work.  ... 
doi:10.14419/ijet.v7i3.34.19383 fatcat:7nufwiw7tfehzpd2kwgaal5saa

Efficient image resampling for multiview displays

Michael Schaffner, Pierre Greisen, Simon Heinzle, Aljoscha Smolic
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
Our assessment shows large differences in computational complexity for similar image quality, and aims at providing a recommendation for selecting a suitable resampling strategy.  ...  We present an evaluation of different resampling strategies for autostereoscopic multiview displays.  ...  As can be seen from the PSNR plots, rendering from higher resolution input footage leads to significantly better quality.  ... 
doi:10.1109/icassp.2013.6638055 dblp:conf/icassp/SchaffnerGHS13 fatcat:3zhf637s5fgnpgfw4u7va7bq7u

Optimized Image Scaling Using DWT and Different Interpolation Techniques

Wardah Aslam, Khurram Khurshid, Asfaq Ahmed
2016 International Journal of Advanced Computer Science and Applications  
In this paper DWT has been used for image scaling purpose. To achieve higher visual quality image, DWT is applied on the gray scale image using a downscaling technique.  ...  The original image is recovered using IDWT by employing different interpolation techniques for upscaling. In this paper interpolation techniques used are: Nearest Neighbor, Bilinear and Bicubic.  ...  Fig.6(a) shows the image reconstructed by using nearest neighbor technique for upsampling. It has much better quality as compared to image reconstructed earlier since that one has blocky affects.  ... 
doi:10.14569/ijacsa.2016.070638 fatcat:5scwcaehcjftrbb2kvs6fnfch4

Image resizing and rotation based on the consistent resampling theory

Beilei Huang, Edmund M-K. Lai, A.P. Vinod
2009 2008 International Symposium on Intelligent Signal Processing and Communications Systems  
Images with high frequency components can be resampled using this scheme to achieve high quality performance. Image resizing is treated as resampling using non-ideal interpolation functions.  ...  The recently proposed consistent resampling theory for non-bandlimited signals is applied to image resizing and rotation.  ...  If a higher order filter is used, then the high frequency components of the images will be even better preserved by consistent resampling.  ... 
doi:10.1109/ispacs.2009.4806742 fatcat:762jtrc7dzffteifjaa6ucshwu

Non-Bandlimited Resampling of Images

Beilei Huang, Edmund Lai
2006 2006 IEEE International Conference on Multimedia and Expo  
Since the resampling process is discrete in nature, our filter designed to optimize resampling in l 2 is shown to outperform other techniques designed in L 2 .  ...  Realizing the resampling system has both discrete input and output, the performance of the resampling filter is considered in l 2 instead of the traditionally used L 2 .  ...  INTRODUCTION Most of the existing techniques for processing discrete-time signals are based on the (implicit) assumption that the underlying analog signals are bandlimited.  ... 
doi:10.1109/icme.2006.262591 dblp:conf/icmcs/HuangL06 fatcat:22gtuhbn4fa4noy4axtksnhwnm


Miguel A. B. G. Telles Junior, Antonio N. C. S. Rosa, Leila M. G. Fonseca
2011 Revista Brasileira de Cartografia  
This paper explores the idea of using a super-resolution technique to generate images with a better resolution over a finer grid than the original sampling grid.  ...  In order to allow quantitative analysis, the Universal Image Quality Index measure was also used.  ...  discretization of resampling points of a signal, SDFT (ISDFT).  ... 
doaj:6afbfb55eb6342ac885057a8aa63fe97 fatcat:kafhlztesffi5lr6jy33ph5q4u

Enhanced Resampling for Sinusoidal Modeling Parameters

Martin Raspaud, Sylvain Marchand
2007 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics  
The sinusoidal modeling parameters can be regarded as control signals, and resampling can be used for synthesis or time-scaling purposes.  ...  Using directly the classic resampling method could have disastrous effects. We present an addition to classic resampling aimed at achieving better results on such non zero-centered signals.  ...  Maximal resampling error using various resampling techniques.  ... 
doi:10.1109/aspaa.2007.4393020 fatcat:zbjuii3lvvcutj6mrtcvv5jgoi

ANN based Data Mining Analysis of the Parkinson's Disease

Satish M., Michael Martin, Abhishek Tripathi
2017 International Journal of Computer Applications  
namely Discretization, Resampling, and SMOTE can best aid in the classification process.  ...  For classifying the PD dataset we employed the ANN based MLP classifier.  ...  The MCC, F1-score and I are well-known for measuring the quality of the binary (two-class) classifiers.  ... 
doi:10.5120/ijca2017914254 fatcat:2dzwpsxrajeldiy7vin33xdyim

Model averaging strategies for structure learning in Bayesian networks with limited data

Bradley M Broom, Kim-Anh Do, Devika Subramanian
2012 BMC Bioinformatics  
If so, would a continuous version of bootstrap, like the Bayesian bootstrap [9] be a better choice for bootstrap resampling than the ordinary discrete bootstrap?  ...  For the remainder of this study, we use 2,500 bootstrap resamples in all experiments. B.  ... 
doi:10.1186/1471-2105-13-s13-s10 pmid:23320818 pmcid:PMC3426799 fatcat:yq74yf67evh3bpxlhde6whlnha

Low-Discrepancy Point Sampling of Meshes for Rendering [article]

Jonathan A. Quinn, Frank C. Langbein, Ralph R. Martin
2007 Symposium Point-Based Graphics : [Proceedings]  
Experiments show that this approach can quickly resample existing meshes with low discrepancy samples.  ...  A novel point sampling framework for polygonal meshes is presented, based on sampling a mesh according to a density-controlled low-discrepancy distribution.  ...  We believe that such a measure could more accurately assess the quality of a surface remeshing process, and may better highlight feature loss due to regular resampling.  ... 
doi:10.2312/spbg/spbg07/019-028 fatcat:q3vh6o2afbe35lvrlsmhmsqili

Tamper Hiding: Defeating Image Forensics [chapter]

Matthias Kirchner, Rainer Böhme
2007 Lecture Notes in Computer Science  
A quantitative evaluation on a batch of test images proves the proposed method's efficacy, while controlling for key parameters and for the retained image quality compared to conventional linear interpolation  ...  This paper introduces novel hiding techniques to counter the detection of image manipulations through forensic analyses.  ...  This pattern becomes most evident after a transformation into the frequency domain, using a Discrete Fourier Transformation (DFT), where it causes distinct peaks that are typical for the specific resampling  ... 
doi:10.1007/978-3-540-77370-2_22 fatcat:ogap6kpzkvcopmnomaars35gzy

Geometrical parameters extraction from discrete paths [chapter]

Anne Vialard
1996 Lecture Notes in Computer Science  
We present in this paper the advantages of using the model of Euclidean paths ]or the geometrical analysis of a discrete curve.  ...  We describe the use of this model to obtain accurate estimations of lenght, tangent orientation and curvature.  ...  The qualities of our contour model allow us to improve existing discrete methods for estimating the geometrical characteristics of discrete curves.  ... 
doi:10.1007/3-540-62005-2_3 fatcat:uqrpd3pjunhtniksjxjntiadsq
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