Discrimination of natural images and computer generated graphics based on multi-fractal and regression analysis

F Peng, D Zhou, M Long, X Sun - AEU-International Journal of Electronics …, 2017 - Elsevier
The aim of the work presented in this paper is to discriminate natural images (NI) and
computer generated graphics (CG). The texture differences are analyzed to the residual …

Multifractal signature estimation for textured image segmentation

Y Xia, D Feng, R Zhao, Y Zhang - Pattern Recognition Letters, 2010 - Elsevier
Fractal theory provides a powerful mathematical tool for texture segmentation. However, in
spite of their increasing popularity, traditional fractal features are intrinsically of less …

Extended fractal analysis for texture classification and segmentation

LM Kaplan - IEEE transactions on image processing, 1999 - ieeexplore.ieee.org
The Hurst parameter for two-dimensional (2-D) fractional Brownian motion (fBm) provides a
single number that completely characterizes isotropic textured surfaces whose roughness is …

Identification of Natural Images and Computer‐Generated Graphics Based on Statistical and Textural Features

F Peng, J Li, M Long - Journal of forensic sciences, 2015 - Wiley Online Library
To discriminate the acquisition pipelines of digital images, a novel scheme for the
identification of natural images and computer‐generated graphics is proposed based on …

[HTML][HTML] Extraction of coal and gangue geometric features with multifractal detrending fluctuation analysis

K Liu, X Zhang, YQ Chen - Applied Sciences, 2018 - mdpi.com
The separation of coal and gangue is an important process of the coal preparation
technology. The conventional way of manual selection and separation of gangue from the …

Discriminating between photorealistic computer graphics and natural images using fractal geometry

F Pan, JB Chen, JW Huang - Science in China Series F: Information …, 2009 - Springer
Rendering technology in computer graphics (CG) is now capable of producing highly
photorealistic images, giving rise to the problem of how to identify CG images from natural …

A novel multifractal estimation method and its application to remote image segmentation

G Du, TS Yeo - IEEE Transactions on geoscience and remote …, 2002 - ieeexplore.ieee.org
Based on the gliding-box and relative differential box-counting algorithms, a novel method
that estimates accurately the multifractal exponents, a distinct characteristics of gray-scale …

A randomized network approach to multifractal texture descriptors

JB Florindo, A Neckel - Information Sciences, 2023 - Elsevier
Texture recognition is one of the most important tasks in computer vision, with numerous
applications in several areas. Despite the recent success of end-to-end deep learning …

Multifractal detrended fluctuation analysis for image texture feature representation

F Wang, ZS Li, GP Liao - … Journal of Pattern Recognition and Artificial …, 2014 - World Scientific
Multifractal theory has been widely used in different kinds of fields. In this paper, methods
were proposed to extract two kinds of multifractal descriptors of gray series and two …

An enhanced statistical approach to identifying photorealistic images

P Sutthiwan, J Ye, YQ Shi - … Workshop, IWDW 2009, Guildford, UK, August …, 2009 - Springer
Computer graphics identification has gained importance in digital era as it relates to image
forgery detection and enhancement of high photorealistic rendering software. In this paper …