Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them. Digital image processing deals with manipulation of digital images through a digital computer. It is a sub field of signals and systems but focus particularly on images.
We provide fundamental concepts and techniques for digital image processing and the software principles used in their practical implementation. The expert and efficient engineers of Rapid Techs familiarize you with image creation, manipulation, arithmetic, morphology, and other operations, with examples of real-world applications. Rapid Techs handle IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Topics of interest include, but are not limited to, the mathematical, statistical, and perceptual modeling, representation, formation, coding, filtering, enhancement, restoration, rendering, halftoning, search, and analysis of images, video, and multidimensional signals.
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
For more details please contact on 09539546641
Or
Write to us – rapidtechs@gmail.com