IEEE 2014 Matlab Image Processing



IEEE 2014 Image Processing
1. A Local Contrast Method for Small Infrared Target Detection.
2. Voting-Based Directional Interpolation Method and Its Application to Still Color Image Demosaicking.
3. Local-Prediction-Based Difference Expansion Reversible Watermarking.
4. Mixed Noise Removal by Weighted Encoding with Sparse Nonlocal Regularization.
5. Fast Compressive Tracking.
6. Generalized Equalization Model for Image Enhancement
7. An Improved Adaptive Intensity–Hue–Saturation Method for the Fusion of Remote Sensing Images.
8. Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition.
9.  Segmentation of Blood Vessels and Optic Disc in Retinal Images.
10. VLSI Implementation of an Adaptive Edge-Enhanced Color Iterpolation Processor for Real- Time Video.
11. EasiSee: Real- Time Vehicle Classification and Counting via Low-Cost Collaborative Sensing.
12. Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression recognition.