matlab code for image noise reduction using fuzzy technique ....etc

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Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Antonio Plaza
Department of Computer Science, University of Extremadura
Avda. de la Universidad s/n, E-10071 Caceres, Spain


Abstract.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most availab ....etc

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noise reduction by fuzzy image filtering java code

Abstract
The main objective of this system is to focus on fuzzy techniques for image filtering. Already several fuzzy filters for noise reduction have been developed. Those technique deals with fat-tailed noise like impulse noise. Most fuzzy techniques are not specifically designed for Gaussian (-like) noise or do not produce convincing results when applied to handle this type of noise. A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise.

Proposed S ....etc

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To get full information or details of salt and pepper noise removal by median type noise detectors and detail preserving regularization please have a look on the pages

http://seminarsprojects.net/Thread-salt-and-pepper-noise-removal-by-median-type-noise-detectors-and-detail-preserving

http://seminarsprojects.net/Thread-salt-and-pepper-noise-removal-by-median-type-noise-detectors-and-detail-preserving?pid=84244&mode=threaded

if you again feel trouble on salt and pepper noise removal by median type noise detectors and detail preserving regu ....etc

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gabor matlab code for hyperspectral image

Abstract

Sparse-representation-based classification (SRC) assigns a test sample to the class with minimum representation error via a sparse linear combination of all the training samples, which has successfully been applied to several pattern recognition problems. According to compressive sensing theory, the l1-norm minimization could yield the same sparse solution as the l0 norm under certain conditions. However, the computational complexity of the l1-norm optimization process is often too high for l ....etc

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HYPERSPECTRAL IMAGING


INTRODUCTION

With the advent of new technologies, the field of remote sensing too has gained a new height. Hyperspectral imaging collects and processes information from across electromagnetic spectrum. The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data. Fifteen years ago only spectral remote sensing experts had access to hyperspectral images or softwar ....etc

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A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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To get full information or details of dimension reduction in hyperspectral image matlab code please have a look on the pages

http://seminarsprojects.net/Thread-why-use-hyperspectral-imagery

http://seminarsprojects.net/Thread-towards-real-time-compression-of-hyperspectral-images-using-virtex-ii-fpgas

if you again feel trouble on dimension reduction in hyperspectral image matlab code please reply in that page and ask specific fields ....etc

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A new fuzzy filter is presented for the reduction of noise of damaged images with additive noise. The filter consists of two stages. The first step calculates a diffuse derivative for eight different directions. The second stage uses these fuzzy derivatives to perform diffuse smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules that make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In particular, the form of ....etc

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Why Use Hyperspectral Imagery



Introduction

While multispectral images have

been in regular use since the 1970s,

the widespread use of hyperspectral

images is a relatively recent trend.

Hyperspectral imaging, also known as im-

aging spectrometry, is now a reasonably fa-

Wmiliar concept in the world of remote sensing.

However, for many remote sensing specialists who

have not yet had the opportunity to use hyperspectral imagery in ....etc

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