Diabetic Retinopathy Detection Using Machine Learning
Volume-4 | Issue-1
Monocular Depth Estimation using a Multi-grid Attention-based Model
Volume-4 | Issue-3
Speedy Image Crowd Counting by Light Weight Convolutional Neural Network
Volume-3 | Issue-3
Construction of Efficient Smart Voting Machine with Liveness Detection Module
Volume-3 | Issue-3
An Economical Robotic Arm for Playing Chess Using Visual Servoing
Volume-2 | Issue-3
Triplet loss for Chromosome Classification
Volume-4 | Issue-1
Unstructured Noise Removal for Industrial Sensor Imaging Unit by Hybrid Adaptive Median Algorithm
Volume-3 | Issue-4
Nighttime Rainy Season Traffic Analysis: Vehicle Detection, Tracking, and Counting with YOLOv8 and DeepSORT
Volume-5 | Issue-3
Real Time Sign Language Recognition and Speech Generation
Volume-2 | Issue-2
Analysis of Artificial Intelligence based Image Classification Techniques
Volume-2 | Issue-1
A REVIEW ON IOT BASED MEDICAL IMAGING TECHNOLOGY FOR HEALTHCARE APPLICATIONS
Volume-1 | Issue-1
COMPUTER VISION BASED TRAFFIC SIGN SENSING FOR SMART TRANSPORT
Volume-1 | Issue-1
Diabetic Retinopathy Detection Using Machine Learning
Volume-4 | Issue-1
Accurate Segmentation for Low Resolution Satellite images by Discriminative Generative Adversarial Network for Identifying Agriculture Fields
Volume-3 | Issue-4
Deep Learning based Handwriting Recognition with Adversarial Feature Deformation and Regularization
Volume-3 | Issue-4
State of Art Survey on Plant Leaf Disease Detection
Volume-4 | Issue-2
Optimal Compression of Remote Sensing Images Using Deep Learning during Transmission of Data
Volume-3 | Issue-4
OverFeat Network Algorithm for Fabric Defect Detection in Textile Industry
Volume-3 | Issue-4
VIRTUAL RESTORATION OF DAMAGED ARCHEOLOGICAL ARTIFACTS OBTAINED FROM EXPEDITIONS USING 3D VISUALIZATION
Volume-1 | Issue-2
Two-Stage Frame Extraction in Video Analysis for Accurate Prediction of Object Tracking by Improved Deep Learning
Volume-3 | Issue-4
Scope
Journal of Innovative Image Processing (JIIP) intends to provide an effective research interaction on the outcomes of high-quality theoretical and applied research from all the areas of image processing and analysis. JIIP publishes the research contributions that propose novel image interpretation and analysis methodology or the appropriate application of image processing methods in real-world settings.
The journal seek to strengthen and deepen the understanding of image processing discipline by encouraging the qualitative and quantitative comparison of existing mythologies and performance evaluation of the proposed image processing related methodologies.
The coverage of the Journal of Innovative Image Processing (JIIP) includes: image analysis, image coding and enhancement, image interpretation and retrieval, embedded image processing and real-time image processing applications, spectral imaging systems, medical imaging devices, pattern recognition, neural networks, software, specialized computer architectures and other related areas.
- Emphasizes on publishing the state-of-the-art research articles covering the novel image processing theory, methodology, and real-time applications.
- Sets forth real-time solutions for current image processing challenges.
- Bridges the gap between the theoretical research and real-time implementation on image processing domain.
- Presents reliable and real-time architectures for image processing systems as well as tools, simulation, modeling and their implementations.