Leaf disease detection using machine learning and deep learning: Review and challenges
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 …
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
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 …
inspect and assess its physical and functional condition. This review paper presents the …
Low-light image enhancement with wavelet-based diffusion models
Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …
time-consuming, excessive computational resource consumption, and unstable restoration …
Blind image quality assessment using a deep bilinear convolutional neural network
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 …
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
The analysis of nuclear magnetic resonance (NMR) spectra for the comprehensive and
unambiguous identification and characterization of peaks is a difficult, but critically important …
unambiguous identification and characterization of peaks is a difficult, but critically important …
Image encryption using 2D Logistic-adjusted-Sine map
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 …
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 …
image quality assessment (IQA) model that operates in the spatial domain. The new model …
Naturalness preserved enhancement algorithm for non-uniform illumination images
Image enhancement plays an important role in image processing and analysis. Among
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …
A review paper: noise models in digital image processing
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 …
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 …
node in a complex network (or graph) of interdependencies and generates data, lots of data …