Guang Deng

Guang Deng

La Trobe University

H-index: 23

Oceania-Australia

About Guang Deng

Guang Deng, With an exceptional h-index of 23 and a recent h-index of 13 (since 2020), a distinguished researcher at La Trobe University, specializes in the field of signal processing, image processing, machine learning, data compression.

His recent articles reflect a diverse array of research interests and contributions to the field:

Brezinski inverse and geometric product-based Steffensen's methods for a semi-blind image reverse filtering model

A deep learning approach for marine snow synthesis and removal

Fast iterative reverse filters using fixed-point acceleration

Single image defocus map estimation through patch blurriness classification and its applications

Detecting image edges in IOT nodes without FPU

Fast image reverse filters through fixed point and gradient descent acceleration

ColorBayes: Improved color correction of high-throughput plant phenotyping images to account for local illumination differences

Reverse image filtering using total derivative approximation and accelerated gradient descent

Guang Deng Information

University

Position

___

Citations(all)

2789

Citations(since 2020)

982

Cited By

2168

hIndex(all)

23

hIndex(since 2020)

13

i10Index(all)

51

i10Index(since 2020)

19

Email

University Profile Page

La Trobe University

Google Scholar

View Google Scholar Profile

Guang Deng Skills & Research Interests

signal processing

image processing

machine learning

data compression

Top articles of Guang Deng

Title

Journal

Author(s)

Publication Date

Brezinski inverse and geometric product-based Steffensen's methods for a semi-blind image reverse filtering model

Applied Mathematical Modelling

Guang Deng

2024/4/1

A deep learning approach for marine snow synthesis and removal

arXiv preprint arXiv:2311.15584

Fernando Galetto

Guang Deng

2023/11/27

Fast iterative reverse filters using fixed-point acceleration

Signal, Image and Video Processing

Guang Deng

Fernando Galetto

2023/10

Single image defocus map estimation through patch blurriness classification and its applications

The Visual Computer

Fernando Galetto

Guang Deng

2023/10

Detecting image edges in IOT nodes without FPU

Multimedia Tools and Applications

Lyle Parsons

Guang Deng

Robert Ross

2023/9/13

Fast image reverse filters through fixed point and gradient descent acceleration

arXiv preprint arXiv:2206.10124

Fernando Galetto

Guang Deng

2022/6/21

ColorBayes: Improved color correction of high-throughput plant phenotyping images to account for local illumination differences

bioRxiv

Diego Lozano-Claros

Eddie Custovic

Guang Deng

James Whelan

Mathew G Lewsey

2022/3/2

Reverse image filtering using total derivative approximation and accelerated gradient descent

IEEE Access

Fernando J Galetto

Guang Deng

2022/11/28

Alignment-free cancelable fingerprint templates with dual protection

Pattern Recognition

Muhammad Shahzad

Song Wang

Guang Deng

Wencheng Yang

2021/3/1

Edge-aware filter based on adaptive patch variance weighted average

IEEE Access

Fernando J Galetto

Guang Deng

Mukhalad Al-Nasrawi

Waseem Waheed

2021/8/24

Single image deep defocus estimation and its applications

arXiv preprint arXiv:2107.14443

Fernando J Galetto

Guang Deng

2021/7/30

A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized gamma distribution

IEEE Open Journal of Signal Processing

Guang Deng

Fernando Galetto

Mukhalad Al–nasrawi

Waseem Waheed

2021/3/2

Guided adaptive interpolation filter

IET Image Processing

Waseem Waheed

Mukhalad Al‐nasrawi

Guang Deng

2020/12

Developmental normalization of phenomics data generated by high throughput plant phenotyping systems

Plant methods

Diego Lozano-Claros

Xiangxiang Meng

Eddie Custovic

Guang Deng

Oliver Berkowitz

...

2020/12

Discrete Laplacian operator and its applications in signal processing

IEEE Access

Waseem Waheed

Guang Deng

Bo Liu

2020/5/11

See List of Professors in Guang Deng University(La Trobe University)