CLAHE HLS implementation on Zynq SoC FPGA

Infrared (IR) imaging is pivotal for military applications, facilitating detection in low-light scenarios. However, conventional IR images often suffer from contrast issues, particularly when displaying high and low-temperature objects in the same scene. This leads to a loss of contrast in the whole...

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Bibliographic Details
Main Author: Yoong, Nathaniel Khai Jie
Other Authors: Radhakrishnan K
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
HLS
Online Access:https://hdl.handle.net/10356/176412
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Institution: Nanyang Technological University
Language: English
Description
Summary:Infrared (IR) imaging is pivotal for military applications, facilitating detection in low-light scenarios. However, conventional IR images often suffer from contrast issues, particularly when displaying high and low-temperature objects in the same scene. This leads to a loss of contrast in the whole image. Contrast Limiting Adaptive Histogram Equalization (CLAHE) emerges as a solution, enhancing image quality by segmenting the image into tiles and applying histogram equalization techniques. This paper proposes the implementation of CLAHE on a Field Programmable Gate Array (FPGA), leveraging its real-time data processing capabilities. By employing High-Level Synthesis (HLS), the algorithm's execution on FPGA promises significant contrast enhancement, surpassing conventional methods like histogram equalization. The envisioned FPGA-based CLAHE system aims to offer superior IR image contrast crucial for military surveillance and reconnaissance applications