IEEE

Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...
IEEE

QGIP: A Framework Bridging Quantum Grayscale Image Processing and Applications

Abstract: Quantum computing offers parallel processing capabilities and resource-saving advantages, particularly useful for managing expansive datasets and complex image processing tasks. Grayscale ...
IEEE

Three-Way Clustering Based on Digital Image Processing

Abstract: A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. The proposed algorithm quantifies the ...
IEEE

Garbage Detection System Using Image Processing

With the constant urbanization of societies and the increasing amount of waste generated, traditional waste management techniques are becoming less relevant as they do not meet the requirements of ...
IEEE

Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations

Abstract: In this text we propose a collection of enhanced quantum methods that would drastically enhance the efficiency and accuracy of biomedical image processing. There are four key methodologies ...
IEEE

Image Processing and Analysis for Color Control of Wood Surfaces based on Convolutional Neural Networks

Abstract: With the advancement of digital image processing technology, particularly in the field of wood surface treatment, this study delves into the detailed analysis and processing of wood surfaces ...
IEEE

Improving Alzheimer’s Detection With Deep Learning and Image Processing Techniques

Abstract: Alzheimer’s Disease (AD) is characterized by the gradual degeneration and decline of brain cells, leading to irreversible neurological changes. This study investigates advanced image ...
IEEE

Breast Cancer Detection Using Mammography: Image Processing to Deep Learning

Abstract: Breast cancer stands as a predominant health concern for women globally. As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at ...
IEEE

Predictive Sampling in Image Sensing for Sparse Image Processing

Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...
IEEE

Memristor based Crossbar Array using CNN for Image Processing Applications

Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.
IEEE

Neuro-Symbolic AI for Advanced Signal and Image Processing: A Review of Recent Trends and Future Directions

Abstract: Neuro-Symbolic Artificial Intelligence (NeSyAI) is a paradigm that combines neural networks with symbolic reasoning, building upon foundations laid in the 1990s and early 2000s, yet gaining ...