Digital Image Processing Projects 2018-19

Calcium removal from cardiac CT images using deep convolutional neural network

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans

The performance evaluation of histogram of oriented gradients as a feature on vessels detection using artificial neural network


Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks

A Convolutional Neural Network for Segmentation of Background Texture and Defect on Copper Clad Lamination Surface

Universal multi-modal deep network for classification and segmentation of medical images

Self-learning to detect and segment cysts in lung CT images without manual annotation

Neural network approach for multispectral image processing

Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images

Prediction of HSV color model parameter values of cloud movement picture based on artificial neural networks

Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks

Dehazing for Multispectral Remote Sensing Images Based on a Convolutional NeuralNetwork With the Residual Architecture

Retinal vessel landmark detection using deep learning and hessian matrix

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image ParsingEvent Reminder

Image quality affects deep learning reconstruction of MRI

Incorporating image degeneration modeling with multitask learning for image super-resolution

Object classification to analyze medical imaging data using deep learning

Classification of SD-OCT images using a Deep learning approach

Multi-scale 3D deep convolutional neural network for hyperspectral image classification

Pre-processing of MR Images for Efficient Quantitative Image Analysis Using DeepLearning Techniques

Improving deep convolutional neural networks with unsupervised feature learning

SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction

Improvements of Classification Accuracy of Film Defects by Using GPU-accelerated Image Processing and Machine Learning Frameworks

Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning

Learning Deep Features for Classification of Typical Ecological Environmental Elements in High-Resolution Remote Sensing Images

Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification

Deep Reinforcement Learning for Object Segmentation in Video Sequences

A comparative study for chest radiograph image retrieval using binary texture and deep learning classification

Building extraction from remote sensing images with deep learning in a supervised manner

Digital Image Processing Projects 2018

Real-time online tracking via a convolution-based complementary model

Histogram Equalization-Based Techniques for Contrast Enhancement of MRI Brain Glioma Tumour Images: Comparative Study

Image Forensic for Digital Image Copy Move Forgery Detection

Simple and Secure Image Steganography using LSB and Triple XOR Operation on MSB

Triplet Markov Chain in Images Segmentation

Edge-based Object Tracking for Dynamic Projection Mapping

Image Contrast Enhancement in Automatic Mode by Nonlinear Stretching

Query Adaptive Multi-View Object Instance Search and Localization using Sketches

Robust Visual Tracking via Smooth Manifold Kernel Sparse Learning

Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction

Long-term super pixel tracking using unsupervised learning and multi-step integration

Multispectral Image Restoration via Inter- and Intra-Block Sparse Estimation Based on Physically-Induced Joint Spatiospectral Structures

Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation

Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition

Progressive Dual-Domain Filter for Enhancing and Denoising Optical Remote-Sensing Images

Secure and Robust Digital Image Watermarking using Coefficient Differencing and Chaotic Encryption

Adaptive Trigonometric Transformation Function with Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery

OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas

Learning Parametric Sparse Models for Heavy Noisy Removal From Images

Bayesian Bistatic ISAR Imaging for Targets with Complex Motion under Low SNR Condition

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

Digital Image Processing Projects 2017

Blind Deconvolution With Model Discrepancies

Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches

Face Verification via Learned Representation on Feature-Rich Video Frames

Image Reconstruction Using Matched Wavelet Estimated From Data Sensed Compressively Using Partial Canonical Identity Matrix

Universal Multimode Background Subtraction

Rough-Set-Based Color Channel Selection

Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD

Wavelet-Based Total Variation and Nonlocal Similarity Model for Image Denoising

colour Image Watermarking based on Wavelet and QR Decomposition

Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain

Unsupervised Sequential Outlier Detection with Deep Architectures

A New Image Denoising Method Based On Region Growing Segmentation

Deep Learning based Frameworks for Image Super-Resolution and Noise-Resilient Super-Resolution

Single Infrared Image Stripe Noise Removal Using Deep Convolutional Networks

Spatio-Temporal Cellular Automata-Based Filtering for Image Sequence Denoising

A Patch-Based Approach for the Segmentation of Pathologies: Application to Glioma Labelling

Adaptive Pairing Reversible Watermarking

An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution

Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution

Consistent Coding Scheme for Single-Image Super-Resolution Via Independent Dictionaries

Content-Adaptive Steganography by Minimizing Statistical Detectability

Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction

Minority Costume Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram

Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis

Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

Multi-Spectral Fusion Based Approach for Arbitrarily Oriented Scene Text Detection in Video Images

Nonlinear and Non separable Bidimensional Multiscale Representation Based on Cell-Average Representation

Adaptive Spot Detection With Optimal Scale Selection in Fluorescence Microscopy Images

Non-Rigid Object Contour Tracking via a Novel Supervised Level Set Model

Perceptual Quality Assessment for Multi-Exposure Image Fusion

Removing Camera Shake via Weighted Fourier Burst Accumulation

Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast

Continuous Depth Map Reconstruction From Light Fields

Polar Embedding for Aurora Image Retrieval

Online Multi-Target Tracking With Unified Handling of Complex Scenarios

Quality Prediction of Asymmetrically Distorted Stereoscopic 3D Images

A Novel Approach to Detect Glaucoma in Retinal Fundus Images using Cup-Disk and Rim-Disk Ratio

Compressive Bilateral Filtering

Remote Sensing Image Segmentation Based on an Improved 2-D Gradient Histogram and MMAD Model

Sparse Dissimilarity-Constrained Coding for Glaucoma Screening

Scene Text Deblurring Using Text-Specific Multiscale Dictionaries

Histogram-Based Locality-Preserving Contrast Enhancement

Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation

Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast

Enhanced Figure-Ground Classification With Background Prior Propagation

Label Image Constrained Multiatlas Selection