Quality assessment for microscopic images of manufactured IC
Microscopic IC image analysis is a critical method for ensuring hardware security tasks, including Trojan detection, IP infringement detection, and integrity verification. However, the effectiveness of these tasks heavily relies on the quality of the acquired microscopic images. Current IC image qua...
Main Author: | Huang, Zehao |
---|---|
Other Authors: | Gwee Bah Hwee |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2025
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/182000 |
Similar Items
-
Reduced-reference quality assessment of screen content images
by: Wang, Shiqi, et al.
Published: (2020) -
Full-reference image quality assessment by combining features in spatial and frequency domains
by: Tang, Zhisen, et al.
Published: (2021) -
A gabor feature-based quality assessment model for the screen content images
by: Ni, Zhangkai, et al.
Published: (2019) -
Screen content image quality assessment using multi-scale difference of Gaussian
by: Fu, Ying, et al.
Published: (2020) -
SGDNet : an end-to-end saliency-guided deep neural network for no-reference image quality assessment
by: Yang, Sheng, et al.
Published: (2020)