NFCS 3D Techniques for Fast Recovery of Sparse Color Images
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2012, Vol 1, Issue 7
Abstract
The objective of this project is to reconstruct 3D sparse images using Non-linear Filtering Compressed Sensing (NFCS) 3D Anisotropic and 3D Isotropic techniques. Compressed Sensing is a new paradigm for signal recovery and sampling. Using proposed NFCS 3D techniques, a random mask is generated for the selected input color image using a sampling matrix. Now, a sparse image is generated for the selected 3D image. Applying Normalization, the original image will be reconstructed from the sparse color image in iterations. The obtained reconstructed 3D image will be filtered using an appropriate adaptive non-linear filter in proposed NFCS 3D techniques. The output parameters like PSNR, Normalized Factor, and CPU Elapsed time will be calculated and compared along with simulation results of 2D techniques. The results obtained using proposed techniques will confirm that these possess properties of efficiency, stability, low computational cost, fast recovery of 3D images in few seconds and its performance is competitive with those of state of art algorithms.
Authors and Affiliations
Srinivasareddy Putluri, Dr. Shaik Meeravali
Keywords
Related Articles
- EP ID EP27519
- DOI -
- Views 327
- Downloads 7
An Algorithmic Framework In Order To Deal With Efficient Resource Allocation In Overlay Routing
Overlay routing has been projected in latest years as an effectual way to attain convinced routing properties devoid of leaving into the extended and monotonous procedure of consistency and worldwide exploitation of...
COMPARISON AND STATISTICAL ANALYSIS OF NAM AND NORMAL SPEECH PROCESSING USING WAVELET TRANSFORM
In this, we present statistical approaches to enhance body-conducted unvoiced speech for silent speech communication using wavelet transform. So far Analysis of NAM speech has been made only using HMM (Hidden Markov...
In-dependable Data hiding in an Encrypted Image using FCM-DH Algorithm
In this paper, a data mining technique, Fuzzy C Means Clustering (FCM) based data hiding algorithm (FCM-DH) is used to divide pixels into classes or clusters from the encrypted image. Clustering of pixels in an encry...
A Technique To Solve Real-World Problems In Text Classification, Computer Vision, And Bioinformatics
The key confront of online feature selection is how to create precise prediction for an example by means of a small number of active features. This is in difference to the traditional setup of online knowledge where a...
Design of Energy Efficient Logic Using Adiabatic Technique
With the adiabatic switching approach, the circuit energies are conserved rather than dissipated as heat. Depending on the application and the system requirements, this approach can be used to reduce the power dissip...