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Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks [article]

Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2022 arXiv   pre-print
We verified our method for three tasks: single-modal and multi-modal image translations, and GAN compression task for image translation.  ...  To address this, here we propose a novel semantic relation consistency (SRC) regularization along with the decoupled contrastive learning, which utilize the diverse semantics by focusing on the heterogeneous  ...  Multi-modal image translation For further evaluation, we apply our method to multimodal image translation model which is a framework for translating input to diverse outputs with multiple domains.  ... 
arXiv:2203.01532v1 fatcat:zbepagm2fngdjcdns7j4g4oeeu

Design of Microwave-based Brain Tumor Detection Framework with the Development of Sparse and Low-Rank Compressive Sensing Image Reconstruction

Hermawan Rahman Sholeh, Mia Rizkinia, Basari Basari
2020 International Journal of Technology  
Consequently, this research designs and creates a framework with a novel microwave image reconstruction algorithm inside.  ...  The framework is a component of the controller and image reconstructor for a portable microwavebased brain tumor detector that is open source and multi-platform.  ...  Acknowledgments The authors acknowledge Universitas Indonesia's support through the Q3 Research Grant 2020 and Q1Q2 Research Grant 2019 under contract number NKB−0309/UN2.R3.1/HKP.05.00/2019.  ... 
doi:10.14716/ijtech.v11i5.4329 fatcat:qqwdoijtb5amtofhpvpfzpcmqy

Fourier-Sparsity Integrated Method for Complex Target ISAR Imagery

Xunzhang Gao, Zhen Liu, Haowen Chen, Xiang Li
2015 Sensors  
To alleviate the sparse recovery-induced RCM in range compression, a sparsity-driven framework for ISAR imaging named Fourier-sparsity integrated (FSI) method is proposed in this paper, which can simultaneously  ...  In existing sparsity-driven inverse synthetic aperture radar (ISAR) imaging framework a sparse recovery (SR) algorithm is usually applied to azimuth compression to achieve high resolution in the cross-range  ...  Correspondence and requests for the paper should be addressed to Xunzhang Gao. Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/s150202723 pmid:25629707 pmcid:PMC4367330 fatcat:mq2ii2rftrfuplkeemwlbqymja

Detecting GAN generated Fake Images using Co-occurrence Matrices [article]

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury, B. S. Manjunath
2019 arXiv   pre-print
In this paper, we propose a novel approach to detect GAN generated fake images using a combination of co-occurrence matrices and deep learning.  ...  GAN based techniques such as Image-to-Image translations, DeepFakes, and other automated methods have become increasingly popular in creating fake images.  ...  The paper is approved for public release, distribution unlimited.  ... 
arXiv:1903.06836v2 fatcat:ynjrs77o7ramlav3bhuntcgkfa

Generating Images in Compressed Domain using Generative Adversarial Networks

Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen
2020 IEEE Access  
Hence, we propose a novel framework that generates JPEG compressed images using generative adversarial networks.  ...  In this paper, we present a generative adversarial network framework that generates compressed images instead of synthesizing raw RGB images and compressing them separately.  ...  Isola et al. introduced a conditional adversarial network framework to solve image-to-image translation problems [31] .  ... 
doi:10.1109/access.2020.3027800 fatcat:2nlswmz5jzb55c73kmjjjehaui

Adaptive cascade architectures for image compression

D. Charalampidis
2003 Electronics Letters  
Table 1 compares a single-structure NN (SSNN) [3] and ACA in terms of peak-signal-to-noise ratio (PSNR).  ...  The SSNN is trained and tested on the same image to avoid dependence of results on training data.  ...  Conclusions: A novel adaptive cascade architecture (ACA) is proposed for image compression that produces higher PSNR than NN, and JPEG especially for large CRs.  ... 
doi:10.1049/el:20030811 fatcat:wsd2wor5uvdilek625lzlb2owq

Half-pixel filter of MC-DCT compressed video

G. Cao, J. Li, Y. Zhang
2003 Electronics Letters  
Table 1 compares a single-structure NN (SSNN) [3] and ACA in terms of peak-signal-to-noise ratio (PSNR).  ...  The SSNN is trained and tested on the same image to avoid dependence of results on training data.  ...  Conclusions: A novel adaptive cascade architecture (ACA) is proposed for image compression that produces higher PSNR than NN, and JPEG especially for large CRs.  ... 
doi:10.1049/el:20030817 fatcat:ujfreuk3ovaarf4ieg6d3bfula

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
on discretization and CNN Wang, Xiuheng EXTENDING CCSDS 123.0-B-1 FOR LOSSLESS 4D IMAGE COMPRESSION Wang, Xiuheng A MULTI-MODEL FUSION FRAMEWORK FO NIR-TO-RGB TRANSLATION Wang, Xiuyuan Stereoscopic  ...  ATTACK DETECTION WITH MULTI-CHANNEL IMAGES Zhao, Min A MULTI-MODEL FUSION FRAMEWORK FO NIR-TO-RGB TRANSLATION Zhou, Xuemei Content-aware Hybrid Equi-angular Cubemap Projection for Omnidirectional Video  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y

Joint reconstruction of compressed multi-view images

Xu Chen, Pascal Frossard
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
We build on the compressed sensing framework and formulate the joint reconstruction as a l 2 -l 1 optimization problem.  ...  It tends to minimize the MSE distortion of the decoded images, under the constraint that these images have sparse and correlated representations over a structured dictionary of atoms.  ...  We build on the compressed sensing framework, and introduce a geometrical correlation model for the joint reconstruction of the images at the decoder.  ... 
doi:10.1109/icassp.2009.4959756 dblp:conf/icassp/ChenF09 fatcat:m7jbngbvxrh3tai37eqtyapal4

Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy [chapter]

Menglong Ye, Edward Johns, Benjamin Walter, Alexander Meining, Guang-Zhong Yang
2016 Lecture Notes in Computer Science  
Binary coding is then used to compress the descriptor via a novel random forests approach, providing fast comparisons in Hamming space and real-time retargeting.  ...  In this paper, we propose an inter-examination retargeting framework for optical biopsy, based on an image descriptor designed for matching between endoscopic scenes over significant time intervals.  ...  Inspired by [8] , efficient descriptor matching is achieved by compression into binary codes, with a novel mapping function based on random forests, allowing for fast encoding of a query image and hence  ... 
doi:10.1007/978-3-319-46720-7_52 fatcat:lghfwecxqjeeraaxmrgfltf7r4

Distilling Portable Generative Adversarial Networks for Image Translation

Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To promote the capability of student generator, we include a student discriminator to measure the distances between real images, and images generated by student and teacher generators.  ...  Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy computation and storage  ...  Thus, we are motivated to develop a novel framework for compressing generative models. There are a variety of schemes for network compression such as pruning and quantization.  ... 
doi:10.1609/aaai.v34i04.5765 fatcat:v3stk3d36jdxpn4xcu4ly2y65u

Distilling portable Generative Adversarial Networks for Image Translation [article]

Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020 arXiv   pre-print
To promote the capability of student generator, we include a student discriminator to measure the distances between real images, and images generated by student and teacher generators.  ...  Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy computation and storage  ...  Thus, we are motivated to develop a novel framework for compressing generative models. There are a variety of schemes for network compression such as pruning and quantization.  ... 
arXiv:2003.03519v1 fatcat:zch5iumcvbbofo6eneoiwv75hm

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme [article]

Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji
2021 arXiv   pre-print
In this work, we revisit the role of discriminator in GAN compression and design a novel generator-discriminator cooperative compression scheme for GAN compression, termed GCC.  ...  Among them, GCC contributes to reducing 80% computational costs while maintains comparable performance in image translation tasks. Our code and models are available at https://github.com/SJLeo/GCC.  ...  In addition, several novel loss functions [54, 17, 2, 45] were designed to stabilize the adversarial training stage of GANs. A popular research direction of GANs is image-to-image translation.  ... 
arXiv:2110.14439v2 fatcat:p5laijlh6nayhckltap5i63p6u

Improved Protection Using Self-Recognized Image
english

Sanchit Shrikant Mahajan, Prof. Pratima Bhati
2015 International Journal of Innovative Research in Computer and Communication Engineering  
So a simulator preinserted code can address the next level of protection to perform various procedures for the sake of integrity and security.  ...  For evaluating the watermarking methods performance it must be concentrate on the robustness of watermarked image quality and restored image quality.  ...  To extend the variety of cover images and for the sake of repeated usage, they over a lossless data hiding scheme for DCT-based compressed images.  ... 
doi:10.15680/ijircce.2015.0301001 fatcat:yc5swpcfzbcmdbkbhoc3d72ywi

A consistent pre-clinical/clinical elastography approach for assessing tumor mechanical properties in therapeutic systems

Jared A. Weis, Thomas E. Yankeelov, Samantha A. Munoz, Rahul A. Sastry, Stephanie L. Barnes, Lori R. Arlinghaus, Xia Li, Michael I. Miga, John B. Weaver, Robert C. Molthen
2013 Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging  
Unlike many other experimental imaging methods, elastography has enjoyed a strong link to the standard diagnostic and interventional evaluation technique of soft tissue palpation.  ...  The elastography method we use is called modality independent elastography (MIE) [4, 5] and can be described as a highly translatable model-based inverse image-analysis method that reconstructs elasticity  ...  We thank the Kleberg Foundation for generous support of the imaging program at our Institution.  ... 
doi:10.1117/12.2007425 fatcat:tchhewg67jdghkpkza4hpklyl4
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