Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

C Koch, K Georgieva, V Kasireddy, B Akinci… - Advanced engineering …, 2015 - Elsevier
To ensure the safety and the serviceability of civil infrastructure it is essential to visually
inspect and assess its physical and functional condition. This review paper presents the …

Low-light image enhancement with wavelet-based diffusion models

H Jiang, A Luo, H Fan, S Han, S Liu - ACM Transactions on Graphics …, 2023 - dl.acm.org
Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …

Blind image quality assessment using a deep bilinear convolutional neural network

W Zhang, K Ma, J Yan, D Deng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a deep bilinear model for blind image quality assessment that works for both
synthetically and authentically distorted images. Our model constitutes two streams of deep …

DEEP picker is a deep neural network for accurate deconvolution of complex two-dimensional NMR spectra

DW Li, AL Hansen, C Yuan, L Bruschweiler-Li… - Nature …, 2021 - nature.com
The analysis of nuclear magnetic resonance (NMR) spectra for the comprehensive and
unambiguous identification and characterization of peaks is a difficult, but critically important …

Image encryption using 2D Logistic-adjusted-Sine map

Z Hua, Y Zhou - Information Sciences, 2016 - Elsevier
With complex properties of ergodicity, unpredictability and sensitivity to initial states, chaotic
systems are widely used in cryptography. This paper proposes a two-dimensional Logistic …

No-reference image quality assessment in the spatial domain

A Mittal, AK Moorthy, AC Bovik - IEEE Transactions on image …, 2012 - ieeexplore.ieee.org
We propose a natural scene statistic-based distortion-generic blind/no-reference (NR)
image quality assessment (IQA) model that operates in the spatial domain. The new model …

Naturalness preserved enhancement algorithm for non-uniform illumination images

S Wang, J Zheng, HM Hu, B Li - IEEE transactions on image …, 2013 - ieeexplore.ieee.org
Image enhancement plays an important role in image processing and analysis. Among
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …

A review paper: noise models in digital image processing

AK Boyat, BK Joshi - arXiv preprint arXiv:1505.03489, 2015 - arxiv.org
Noise is always presents in digital images during image acquisition, coding, transmission,
and processing steps. Noise is very difficult to remove it from the digital images without the …

Discrete signal processing on graphs

A Sandryhaila, JMF Moura - IEEE transactions on signal …, 2013 - ieeexplore.ieee.org
In social settings, individuals interact through webs of relationships. Each individual is a
node in a complex network (or graph) of interdependencies and generates data, lots of data …