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 ...

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

Abstract: Present day innovative technologies like object identification, image division and photo creation are based different values of high-resolution picture processing. In the last few years, ...

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 ...

Abstract: underwater object detection and recognition are critical technologies in marine science and engineering, enabling advancements in environmental monitoring, resource exploration, and ...

Abstract: Medical image processing is highly developed and critical in the medical field, encompassing methods like X-rays, MRI, and CT scans. These techniques help to identify minute defects in the ...

Abstract: The application of artificial intelligence and image processing for automatic fault detection in industrial settings holds substantial significance. However, image processing systems ...

Abstract: The Image Signal Processor (ISP) is a key component in modern cameras that transforms the RAW scene radiance captured by the camera sensor into sRGB images that are suitable for the human ...

Abstract: The significance of the saying “a picture is worth a thousand words” is evident in our daily experiences, showcasing the profound impact of images. This paper delves into the contemporary ...

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 ...

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

Abstract: This work addresses the issue of seamless real-time Augmented Reality (AR) integration in gaming, healthcare, education, and industrial maintenance using resource-constrained edge devices, ...