IEEE Project in Image Processing

IEEE Engineering final year Project in Image Processing – 2017 :

1. A Robust and Efficient Approach to License Plate Detection
2. Backward Registration Based Aspect Ratio Similarity (ARS) for Image targeting Quality Assessment
3. Beyond a Gaussian Denoiser Residual Learning of Deep CNN for Image Denoising
4. Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches
5. Clearing the Skies A Deep Network Architecture for Single-Image Rain Removal
6. Comments on “Steganography Using Reversible Texture Synthesis”
7. Correlated Topic Vector for Scene Classification
8. Detail-Enhanced Multi-Scale Exposure Fusion
9. Discriminant Context Information Analysis for Post-Ranking Person Re-Identification
10. Discriminative Elastic-Net Regularized Linear Regression
11. Discriminative Multi-View Interactive Image Re-Ranking
12. Enhanced Just Noticeable Difference Model for Images with Pattern Complexity
13. Fast Bayesian JPEG Decompression and Denoising With Tight Frame Priors
14. Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation
15. Haze Removal Using the Difference- Structure-Preservation Prior
16. Joint Defogging and De-mosaicking
17. Latent Semantic Minimal Hashing for Image Retrieval
18. Learning Multilayer Channel Features for Pedestrian Detection
19. Learning Short Binary Codes for Large-scale Image Retrieval
20. Learning to Hash with Optimized Anchor Embedding for Scalable Retrieval
21. Linear Spectral Clustering Super-pixel
22. Object-Based Multiple Foreground Segmentation in RGBD Video
23. Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution
24. Person Re-Identification via Distance Metric Learning with Latent Variables
25. Predicting the Quality of Fused Long Wave Infrared and Visible Light Images
26. RGBD Salient Object Detection via Deep Fusion
27. Robust and Low-Rank Representation for Fast Face Identification with Occlusions
28. Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions
29. Robust Image Graph Rank-Level Feature Fusion for Image Search
30. Robust Multi-Exposure Image Fusion A Structural Patch Decomposition Approach
31. Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
32. Semi-Supervised Multi-View Discrete Hashing for Fast Image Search
33. Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
34. Single Image Super-Resolution via Adaptive High-Dimensional Non-Local Total Variation and Adaptive Geometric Feature
35. Single-Scale Fusion an Effective Approach to Merging Images
36. Structure-Based Low-Rank Model with Graph Nuclear Norm Regularization for Noise Removal
37. Structure-From-Motion in Spherical Video Using the von Mises-Fisher Distribution
38. The Shape Interaction Matrix-Based Affine Invariant Mismatch Removal for Partial-Duplicate Image Search
39. Toward More Accurate Iris Recognition Using Cross-Spectral Matching
40. Variational Bayesian Approach to Multi-Frame Image Restoration
41. Video Anomaly Detection with Compact Feature Sets for Online Performance
42. Video Saliency Detection via Spatial-Temporal Fusion and Low-Rank Coherency Diffusion

Final Year Project Center in Tirunelveli in Image Processing

[su_button size=”6″ center=”yes” icon=”icon: arrow-circle-o-right” onclick=”ppsShowPopup(107); return false;”]Click Here for Free Consultation[/su_button]


Image Processing 2016-2017:

1. Efficient joint encryption and data hiding algorithm for medical images security
2. Energy Efficient Image Encryption Algorithm
3. Reversible data hiding in encrypted images using reformed JPEG compression
4. Towards Privacy-preserving Content-based Image Retrieval in Cloud Computing
5. Multimedia content security with random key generation approach in cloud computing

Image Processing 2015:

1. Combining LBP Difference and Feature Correlation for Texture Description
2. A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution
3. Receptive Fields Selection for Binary Feature Description
4. A Regularized Model-Based Optimization Framework for Pan-Sharpening
5. Light Illumination and Detection Patterns for Fluorescence Diffuse Optical Tomography Based on Compressive Sensing
6. Saliency Detection for Stereoscopic Images
7. On Scanning Linear Barcodes From Out-of-Focus Blurred Images: A Spatial Domain Dynamic Template Matching Approach
8. Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
9. Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
10. An Iterative Compensation Approach Without Linearization of Projector Responses for Multiple-Projector System
11. High-Dimensional Camera Shake Removal With Given Depth Map
12. Heterogeneity Image Patch Index and Its Application to Consumer Video Summarization
13. Sparse Spatial Coding: A Novel Approach to Visual Recognition
14. Weighted KPCA Degree of Homogeneity Amended Nonclassical Receptive Field Inhibition Model for Salient Contour Extraction in Low-Light-Level Image

newtontechsolution tirunelveli ieee final year project center

15. Reversible Symmetric Nonexpansive Convolution: An Effective Image Boundary Processing for $mbi{M}$ -Channel Lifting-Based Linear-Phase Filter Banks
16. An Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson–Gaussian Noise
17. Tree Filtering: Efficient Structure-Preserving Smoothing With a Minimum Spanning Tree
18. Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography
19. Optimal Transport for Secure Spread-Spectrum Watermarking of Still Images
20. Robust Point Matching via Vector Field Consensus
21. Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes
22. LGE-KSVD: Robust Sparse Representation Classification
23. Analysis, Evaluation, and Comparison of Polarimetric SAR Speckle Filtering Techniques
24. Data-Driven Hierarchical Structure Kernel for Multiscale Part-Based Object Recognition
25. Local-Prediction-Based Difference Expansion Reversible Watermarking
26. Double-Layer Video Transmission Over Decode-and-Forward Wireless Relay Networks Using Hierarchical Modulation
27. Context-Aware Discovery of Visual Co-Occurrence Patterns
28. Maximum-Likelihood Based Synthesis of Volumetric Textures From a 2D Sample
29. Speckle Reduction via Higher Order Total Variation Approach
30. A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy
31. Learning Cascaded Shared-Boost Classifiers for Part-Based Object Detection
32. Visual Tracking via Discriminative Sparse Similarity Map
33. Novel Example-Based Method for Super-Resolution and Denoising of Medical Images
34. Colored Coded Aperture Design by Concentration of Measure in Compressive Spectral Imaging
35. Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation
36. Inverse Halftoning With Context Driven Prediction
37. Saliency Tree: A Novel Saliency Detection Framework
38. LBP-Based Edge-Texture Features for Object Recognition
39. Fast Space-Varying Convolution Using Matrix Source Coding With Applications to Camera Stray Light Reduction
40. Statistical Model of Quantized DCT Coefficients: Application in the Steganalysis of Jsteg Algorithm
41. Spatial Pooling of Heterogeneous Features for Image Classification
42. Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace
43. Click Prediction for Web Image Reranking Using Multimodal Sparse Coding
44. Images as Occlusions of Textures: A Framework for Segmentation
45. Cross-Indexing of Binary SIFT Codes for Large-Scale Image Search
46. Image-Difference Prediction: From Color to Spectral
47. Full-Reference Quality Estimation for Images With Different Spatial Resolutions
48. Saliency-Based Selection of Gradient Vector Flow Paths for Content Aware Image Resizing
49. Single-Image Superresolution of Natural Stochastic Textures Based on Fractional Brownian Motion
50. Online Glocal Transfer for Automatic Figure-Ground Segmentation
51. Learning Joint Intensity-Depth Sparse Representations

Final Year Project Center in Tirunelveli in Image Processing