MATLAB is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. MATLAB can be used in projects such as modeling energy consumption to build smart power grids, developing control algorithms for hypersonic vehicles, analyzing weather data to visualize the track and intensity of hurricanes, and running millions of simulations to pinpoint optimal dosing for antibiotics.
We at Rapid Techs, provide informative introduction for understanding architectural issues and solutions to develop skills in the field of MATLAB technology. Being an academic project centre, we train you to be an engineer, who implement pragmatic approaches for solving problems, which, in a world with limited resources (in particular time and money), means minimizing the “time to solution”.
Some of the featured IEEE Research projects are listed below
2015 IEEE Transactions
Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose
Image Denoising by Exploring External and Internal Correlations
Image Quality Assessment for Fake Biometric Detection Application to Iris, Fingerprint,and Face Recognition
Multi-task Pose-Invariant Face Recognition
Weighted Guided Image Filtering
Continuous Depth Map Reconstruction From Light Fields
Double Line Image Rotation
Adaptive Metric Learning for Saliency Detection
Removing Camera Shake via Weighted Fourier Burst Accumulation
Compressive Bilateral Filtering
Progressive Halftone Watermarking Using Multilayer Table Lookup Strategy
Multiview Alignment Hashing for Efficient Image Search
Saliency-Based Color Accessibility
On Local Prediction Based Reversible Watermarking
Sorted Consecutive Local Binary Pattern for Texture Classification
PISA Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence
Latent Fingerprint Enhancement via Multi-Scale Patch Based Sparse Representation
Steganography Using Reversible Texture Synthesis
Projection-Based Polygonality Measurement
Featured Projects
Effective Contrast-Based Dehazing for Robust Image Matching
Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression
An Advanced Moving Object Detection Algorithm
Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation
A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations
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