Towards flexible blind JPEG artifacts removal

J Jiang, K Zhang, R Timofte - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Training a single deep blind model to handle different quality factors for JPEG image
artifacts removal has been attracting considerable attention due to its convenience for …

Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain

X Jin, Q Jiang, S Yao, D Zhou, R Nie, SJ Lee… - Infrared Physics & …, 2018 - Elsevier
In order to promote the performance of infrared and visual image fusion and provide better
visual effects, this paper proposes a hybrid fusion method for infrared and visual image by …

Blind image splicing detection via noise level function

N Zhu, Z Li - Signal Processing: Image Communication, 2018 - Elsevier
With the wide use of sophisticated image editing tools, digital image manipulation becomes
very convenient and easy, which makes the detection of image tampering operations …

An improved first quantization matrix estimation for nonaligned double compressed JPEG images

H Yao, H Wei, C Qin, X Zhang - Signal Processing, 2020 - Elsevier
Estimation of the first quantization matrix of a nonaligned double compressed JPEG (NA-
DJPG) image remains a challenging problem. To solve this problem, a novel method for …

An infrared and visible image fusion algorithm based on LSWT-NSST

L Junwu, B Li, Y Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
Regarding the problems of image distortion, edge blurring, Gibbs phenomena in the
traditional wavelet transform algorithm and the loss of subtle features in the Non …

Locating splicing forgery by adaptive-SVD noise estimation and vicinity noise descriptor

B Liu, CM Pun - Neurocomputing, 2020 - Elsevier
Splicing forgery in digital images is a common form of photographic manipulation which
composites two or more images into a single picture. Detection of splicing forgery remains a …

JPEG quantization step estimation with coefficient histogram and spectrum analyses

H Yao, H Wei, T Qiao, C Qin - Journal of Visual Communication and Image …, 2020 - Elsevier
This paper proposes a new method for estimating quantization steps (QSs) from an image
that has been previously JPEG-compressed and stored in a lossless format. In this method …

Deep multi-scale discriminative networks for double JPEG compression forensics

C Deng, Z Li, X Gao, D Tao - ACM Transactions on Intelligent Systems …, 2019 - dl.acm.org
As JPEG is the most widely used image format, the importance of tampering detection for
JPEG images in blind forensics is self-evident. In this area, extracting effective statistical …

Improved JPEG anti-forensics with better image visual quality and forensic undetectability

G Singh, K Singh - Forensic science international, 2017 - Elsevier
There is an immediate need to validate the authenticity of digital images due to the
availability of powerful image processing tools that can easily manipulate the digital image …

Mse period based estimation of first quantization step in double compressed jpeg images

F Xue, Z Ye, W Lu, H Liu, B Li - Signal Processing: Image Communication, 2017 - Elsevier
The estimation of the first quantization step in double JPEG compressed images is still a
challenging problem, especially when the first quantization step q 1 is smaller than the …