Image Processing Current Year Project
Image Processing

Image processing refers to quantitative analyses and/or algorithms applied to digital image data. It allows generation of 3D parametric maps and implies calculation of values that should be ultimately replicable and rater-independent. Image processing methods are becoming increasingly sophisticated and the tendency is to develop as much automation as possible. A common goal of image processing techniques applied to neuroimaging is to improve detection of abnormal brain tissue, including abnormalities that may not be readily recognizable by visual analysis alone.
Image Processing Current Year Project
Sr. No | Project Name | Journal |
---|---|---|
1 | Color Image Watermarking based on Wavelet and QR Decomposition | IEEE |
2 | Blind Super Resolution of Real-Life Video Sequences | IEEE |
3 | Representing images using points on image surfaces | IEEE |
4 | Real-time processing and compression of DNA microarray images | IEEE |
5 | Brain Region Segmentation using Convolutional Neural Network | IEEE |
6 | An Efficient Ranked Multi-Keyword Search for Multiple Data Owners over Encrypted Cloud Data | IEEE |
7 | Final Two-Factor Data Security ProtectionMechanism for Cloud Storage System | IEEE |
8 | FOG Removal Fusion-based Variational Image Dehazing | IEEE |
9 | Offline Signature VerificationUsing Support Vector Machine | IEEE |
10 | Malaria parasitic stage detection | IEEE |
11 | Multi-task Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition | IEEE |
12 | Artificial Neural Network Modelling of ADS designed Double Pole Double Throw Switch | IEEE |
13 | Study of the EEG Signals of Human Brain for the Analysis of Emotions | IEEE |
14 | CNN For Lung Cancer | IEEE |
15 | Dolphin signal processing | IEEE |
16 | Lung diseases detection using CNN | IEEE |