In the process of Canny edge detection, a large number of high complexity calculations such
as Gaussian filtering, gradient calculation, non-maximum suppression, and double threshold …

Sobel edge detection is widely used in computer vision and image processing but its
processing time becomes a serious problem in real-time environments, especially when an …

Linear prediction analysis is a crucial technique used in speech coding to compress speech
signals and facilitate their reliable transmission over limited bandwidth or storage space …

This paper analyzes a hardware-accelerated image processing module for visual inspection
systems. These systems are essential for maintaining product quality and decreasing …

This paper presents a novel power efficient Hybrid floating point multiplier (HFPM) with
approximate hybrid radix-4/radix-8 booth encoder. This approach efficiently increases the …

Image processing has become under the spotlight recently and leads to a significant shift in
various fields such as biomedical, satellite images, and graphical applications …

Edge detection is a fundamental process, and therefore there are still demands to improve
its efficiency and computational complexity. This study proposes a knowledge-based edge …

A novel Sobel edge detection accelerator based on reconfigurable architecture is proposed
to solve the problem of low power-to-performance ratio of traditional Sobel edge detection …

In the realm of medical imaging, identifying and classifying tumors using light weight
machine learning algorithms require edge detection procedure. This renders the process of …

Dalam perkembangannya pengolahan citra sangat membantu untuk menyelesaikan
masalah yang dihadapi oleh manusia. Image processing merupakan suatu teknik …