Vishal Monga
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2010 – today
- 2019
- [i28]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection. CoRR abs/1901.07061 (2019) - 2018
- [j35]Mohammad Tofighi, Yuelong Li, Vishal Monga:
Blind Image Deblurring Using Row-Column Sparse Representations. IEEE Signal Process. Lett. 25(2): 273-277 (2018) - [j34]Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff:
Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans. IEEE Trans. Biomed. Engineering 65(8): 1871-1884 (2018) - [c69]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Orthogonally Regularized Deep Networks for Image Super-Resolution. ICASSP 2018: 1463-1467 - [c68]Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga:
Deep Image Super Resolution via Natural Image Priors. ICASSP 2018: 1483-1487 - [c67]Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep Mr Image Super-Resolution Using Structural Priors. ICIP 2018: 410-414 - [c66]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Deep Networks with Shape Priors for Nucleus Detection. ICIP 2018: 719-723 - [c65]Xuelu Li, Vishal Monga:
Collaborative Sparse Priors for Infrared Image Multi-View ATR. IGARSS 2018: 5736-5739 - [c64]John McKay, Isaac Gerg, Vishal Monga:
Bridging The GAP: Simultaneous Fine Tuning for Data Re-Balancing. IGARSS 2018: 7062-7065 - [c63]Xuelu Li, Vishal Monga, Arvind U. K. Rao:
Analysis-synthesis model learning with shared features: A new framework for histopathological image classification. ISBI 2018: 203-206 - [i27]John McKay, Isaac Gerg, Vishal Monga:
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing. CoRR abs/1801.02548 (2018) - [i26]Tiep Huu Vu, Lam Nguyen, Tiantong Guo, Vishal Monga:
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery. CoRR abs/1801.05458 (2018) - [i25]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Orthogonally Regularized Deep Networks For Image Super-resolution. CoRR abs/1802.02018 (2018) - [i24]Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga:
Deep Image Super Resolution via Natural Image Priors. CoRR abs/1802.02721 (2018) - [i23]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Deep Networks with Shape Priors for Nucleus Detection. CoRR abs/1807.03135 (2018) - [i22]Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep MR Image Super-Resolution Using Structural Priors. CoRR abs/1809.03140 (2018) - [i21]Tiep Huu Vu, Lam Nguyen, Vishal Monga:
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques. CoRR abs/1810.02812 (2018) - 2017
- [j33]John McKay, Vishal Monga, Raghu G. Raj:
Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification. IEEE Trans. Geoscience and Remote Sensing 55(10): 5563-5576 (2017) - [j32]Yuelong Li, Chul Lee, Vishal Monga:
A Maximum a Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis. IEEE Trans. Image Processing 26(3): 1143-1157 (2017) - [j31]Hojjat Seyed Mousavi, Vishal Monga:
Sparsity-Based Color Image Super Resolution via Exploiting Cross Channel Constraints. IEEE Trans. Image Processing 26(11): 5094-5106 (2017) - [j30]Tiep Huu Vu, Vishal Monga:
Fast Low-Rank Shared Dictionary Learning for Image Classification. IEEE Trans. Image Processing 26(11): 5160-5175 (2017) - [j29]Omar Aldayel, Vishal Monga, Muralidhar Rangaswamy:
Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint. IEEE Trans. Signal Processing 65(10): 2588-2599 (2017) - [c62]John McKay, Raghu G. Raj, Vishal Monga:
Fast stochastic hierarchical Bayesian map for tomographic imaging. ACSSC 2017: 223-227 - [c61]Omar Aldayel, Tiantong Guo, Vishal Monga, Muralidhar Rangaswamy:
Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar. ACSSC 2017: 573-577 - [c60]
- [c59]Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga:
Deep Wavelet Prediction for Image Super-Resolution. CVPR Workshops 2017: 1100-1109 - [c58]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c57]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive matching pursuit for sparse signal recovery. ICASSP 2017: 4331-4335 - [i20]John McKay, Anne Gelb, Vishal Monga, Raghu G. Raj:
Using Frame Theoretic Convolutional Gridding for Robust Synthetic Aperture Sonar Imaging. CoRR abs/1706.08575 (2017) - [i19]John McKay, Vishal Monga, Raghu G. Raj:
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification. CoRR abs/1706.08590 (2017) - [i18]John McKay, Isaac Gerg, Vishal Monga, Raghu G. Raj:
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR. CoRR abs/1706.09858 (2017) - [i17]John McKay, Raghu G. Raj, Vishal Monga:
Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging. CoRR abs/1707.02336 (2017) - [i16]Mohammad Tofighi, Yuelong Li, Vishal Monga:
Blind Image Deblurring Using Row-Column Sparse Representations. CoRR abs/1712.01937 (2017) - 2016
- [j28]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy, Yuri I. Abramovich:
Expected likelihood approach for determining constraints in covariance estimation. IEEE Trans. Aerospace and Electronic Systems 52(5): 2139-2156 (2016) - [j27]Chul Lee, Vishal Monga:
Power-Constrained RGB-to-RGBW Conversion for Emissive Displays: Optimization-Based Approaches. IEEE Trans. Circuits Syst. Video Techn. 26(10): 1821-1834 (2016) - [j26]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Ganesh Rao, Arvind U. K. Rao:
Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning. IEEE Trans. Med. Imaging 35(3): 738-751 (2016) - [j25]Omar Aldayel, Vishal Monga, Muralidhar Rangaswamy:
Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints. IEEE Trans. Signal Processing 64(14): 3760-3774 (2016) - [c56]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Deep learning based image super-resolution with coupled backpropagation. GlobalSIP 2016: 237-241 - [c55]Hojjat Seyed Mousavi, Vishal Monga:
Sparsity based super resolution using color channel constraints. ICIP 2016: 579-583 - [c54]Yuelong Li, Vishal Monga:
SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking. ICIP 2016: 1828-1832 - [c53]Tiep Huu Vu, Vishal Monga:
Learning a low-rank shared dictionary for object classification. ICIP 2016: 4428-4432 - [c52]John McKay, Vishal Monga, Raghu G. Raj:
Localized dictionary design for geometrically robust sonar ATR. IGARSS 2016: 991-994 - [i15]John McKay, Raghu G. Raj, Vishal Monga, Jason T. Isaacs:
Discriminative Sparsity for Sonar ATR. CoRR abs/1601.00119 (2016) - [i14]John McKay, Vishal Monga, Raghu G. Raj:
Localized Dictionary design for Geometrically Robust Sonar ATR. CoRR abs/1601.03323 (2016) - [i13]Tiep Huu Vu, Vishal Monga:
Learning a low-rank shared dictionary for object classification. CoRR abs/1602.00310 (2016) - [i12]Hojjat Seyed Mousavi, Vishal Monga:
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints. CoRR abs/1610.01066 (2016) - [i11]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive matching pursuit for sparse signal recovery. CoRR abs/1610.08495 (2016) - [i10]Tiep Huu Vu, Vishal Monga:
Fast Low-rank Shared Dictionary Learning for Image Classification. CoRR abs/1610.08606 (2016) - [i9]Yuelong Li, Chul Lee, Vishal Monga:
A Maximum A Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis. CoRR abs/1612.02761 (2016) - 2015
- [j24]Hojjat Seyed Mousavi, Vishal Monga, Trac D. Tran:
Iterative Convex Refinement for Sparse Recovery. IEEE Signal Process. Lett. 22(11): 1903-1907 (2015) - [j23]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Computationally efficient toeplitz approximation of structured covariance under a rank constraint. IEEE Trans. Aerospace and Electronic Systems 51(1): 775-785 (2015) - [j22]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals. IEEE Trans. Cybernetics 45(3): 576-587 (2015) - [j21]Mu Li, Vishal Monga:
Twofold Video Hashing With Automatic Synchronization. IEEE Trans. Information Forensics and Security 10(8): 1727-1738 (2015) - [j20]Umamahesh Srinivas, Yuanming Suo, Minh Dao, Vishal Monga, Trac D. Tran:
Structured Sparse Priors for Image Classification. IEEE Trans. Image Processing 24(6): 1763-1776 (2015) - [c51]Omar Aldayel, Vishal Monga, Muralidhar Rangaswamy:
SQR: Successive QCQP refinement for MIMO radar waveform design under practical constraints. ACSSC 2015: 85-89 - [c50]Yuelong Li, Chul Lee, Vishal Monga:
A map estimation framework for HDR video synthesis. ICIP 2015: 2219-2223 - [c49]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification. ISBI 2015: 990-994 - [i8]Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac D. Tran:
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors. CoRR abs/1501.07867 (2015) - [i7]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification. CoRR abs/1502.01032 (2015) - [i6]Hojjat Seyed Mousavi, Vishal Monga, Trac D. Tran:
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors. CoRR abs/1502.04726 (2015) - [i5]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning. CoRR abs/1506.05032 (2015) - 2014
- [j19]Chul Lee, Yuelong Li, Vishal Monga:
Ghost-Free High Dynamic Range Imaging via Rank Minimization. IEEE Signal Process. Lett. 21(9): 1045-1049 (2014) - [j18]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Rank-Constrained Maximum Likelihood Estimation of Structured Covariance Matrices. IEEE Trans. Aerospace and Electronic Systems 50(1): 501-515 (2014) - [j17]Umamahesh Srinivas, Vishal Monga, Raghu G. Raj:
SAR Automatic Target Recognition Using Discriminative Graphical Models. IEEE Trans. Aerospace and Electronic Systems 50(1): 591-606 (2014) - [j16]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan:
Adaptive Sparse Representations for Video Anomaly Detection. IEEE Trans. Circuits Syst. Video Techn. 24(4): 631-645 (2014) - [j15]Umamahesh Srinivas, Hojjat Seyed Mousavi, Vishal Monga, Arthur Hattel, Bhushan Jayarao:
Simultaneous Sparsity Model for Histopathological Image Representation and Classification. IEEE Trans. Med. Imaging 33(5): 1163-1179 (2014) - [c48]Chul Lee, Vishal Monga:
Power-constrained RGB-to-RGBW conversion for emissive displays. ICASSP 2014: 1205-1209 - [c47]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan, Aaron Burry:
Low rank sparsity prior for robust video anomaly detection. ICASSP 2014: 1285-1289 - [c46]Yuanming Suo, Minh Dao, Trac D. Tran, Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga:
Group structured dirty dictionary learning for classification. ICIP 2014: 150-154 - [c45]
- [c44]Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac D. Tran:
Multi-task image classification via collaborative, hierarchical spike-and-slab priors. ICIP 2014: 4236-4240 - [c43]
- [i4]Mu Li, Vishal Monga:
Twofold Video Hashing with Automatic Synchronization. CoRR abs/1402.5422 (2014) - [i3]Yuanming Suo, Minh Dao, Umamahesh Srinivas, Vishal Monga, Trac D. Tran:
Structured Dictionary Learning for Classification. CoRR abs/1406.1943 (2014) - 2013
- [j14]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models. IEEE Geosci. Remote Sensing Lett. 10(3): 505-509 (2013) - [j13]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan:
Robust Extrema Features for Time-Series Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1464-1479 (2013) - [j12]Mu Li, Vishal Monga:
Compact Video Fingerprinting via Structural Graphical Models. IEEE Trans. Information Forensics and Security 8(11): 1709-1721 (2013) - [c42]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Efficient approximation of structured covariance under joint Toeplitz and rank constraints. ACSSC 2013: 692-696 - [c41]Vishal Monga, Trac D. Tran:
Discriminative sparse representations with applications. ACC 2013: 2280-2282 - [c40]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Constrained ML estimation of structured covariance matrices with applications in radar STAP. CAMSAP 2013: 101-104 - [c39]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-based multi-sensor fusion for acoustic signal classification. ICASSP 2013: 261-265 - [c38]Yuanming Suo, Minh Dao, Trac D. Tran, Umamahesh Srinivas, Vishal Monga:
Hierarchical sparse modeling using Spike and Slab priors. ICASSP 2013: 3103-3107 - [c37]Umamahesh Srinivas, Yuanming Suo, Minh Dao, Vishal Monga, Trac D. Tran:
Structured sparse priors for image classification. ICIP 2013: 3211-3215 - [c36]Umamahesh Srinivas, Hojjat Seyed Mousavi, Charles Jeon, Vishal Monga, Arthur Hattel, Bhushan Jayarao:
SHIRC: A simultaneous sparsity model for histopathological image representation and classification. ISBI 2013: 1118-1121 - [c35]Xuan Mo, Vishal Monga, Raja Bala, José A. Rodríguez-Serrano, Zhigang Fan, Aaron M. Burry:
Practical methods for sparsity based video anomaly detection. ITSC 2013: 955-960 - 2012
- [j11]Orhan Bulan, Vishal Monga, Gaurav Sharma:
Capacity Analysis For Orthogonal Halftone Orientation Modulation Channels. IEEE Trans. Image Processing 21(1): 405-411 (2012) - [j10]Vishal Monga, Raja Bala, Xuan Mo:
Design and Optimization of Color Lookup Tables on a Simplex Topology. IEEE Trans. Image Processing 21(4): 1981-1996 (2012) - [j9]Mu Li, Vishal Monga:
Robust Video Hashing via Multilinear Subspace Projections. IEEE Trans. Image Processing 21(10): 4397-4409 (2012) - [c34]Vishal Monga:
Session MP5b: Convex optimization in image and video analysis (invited). ACSCC 2012: 601-602 - [c33]
- [c32]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan:
A joint sparsity model for video anomaly detection. ACSCC 2012: 1969-1973 - [c31]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan:
Optimally robust extrema filters for time series data. ACC 2012: 2189-2195 - [c30]Martin Maltz, Vishal Monga, Zhigang Fan:
Tensor decomposition for color printer model lookup table. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2012: 82921B - [c29]
- [c28]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Discriminative graphical models for sparsity-based hyperspectral target detection. IGARSS 2012: 1489-1492 - 2011
- [c27]
- [c26]Umamahesh Srinivas, Vishal Monga, Yi Chen, Trac D. Tran:
Sparsity-based face recognition using discriminative graphical models. ACSCC 2011: 1204-1208 - [c25]Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, José M. F. Moura:
Scalable robust hypothesis tests using graphical models. ICASSP 2011: 3612-3615 - [c24]Umamahesh Srinivas, Vishal Monga, Raghu G. Raj:
Automatic target recognition using discriminative graphical models. ICIP 2011: 33-36 - [c23]Umamahesh Srinivas, Xuan Mo, Manu Parmar, Vishal Monga:
Image-adaptive Color Super-resolution. Color Imaging Conference 2011: 120-125 - [c22]
- [i2]Yi Chen, Umamahesh Srinivas, Thong T. Do, Vishal Monga, Trac D. Tran:
Discriminative Local Sparse Representations for Robust Face Recognition. CoRR abs/1111.1947 (2011) - 2010
- [j8]Orhan Bulan, Gaurav Sharma, Vishal Monga:
Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints. IEEE Trans. Image Processing 19(8): 2070-2084 (2010) - [c21]Vishal Monga, Raja Bala, Claude Fillion:
The use of spatially based complexity measures towards color gamut mapping and image resizing. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2010: 75280H - [c20]Vishal Monga, Raja Bala:
Algorithms for color look-up-table (LUT) design via joint optimization of node locations and output values. ICASSP 2010: 998-1001 - [c19]Kamil Senel, Mehmet Kivanç Mihçak, Vishal Monga:
A learning framework for robust hashing of face images. ICIP 2010: 197-200
2000 – 2009
- 2009
- [c18]Vishal Monga, Raja Bala:
Shaped Local Regression and Its Application to Color Transforms. Color Imaging Conference 2009: 272-277 - [c17]Orhan Bulan, Vishal Monga, Gaurav Sharma:
High capacity color barcodes using dot orientation and color separability. Media Forensics and Security 2009: 725417 - [c16]Scott Deeann Chen, Vishal Monga, Pierre Moulin:
Meta-classifiers for multimodal document classification. MMSP 2009: 1-6 - 2008
- [j7]Vishal Monga, Shen-Ge Wang, Raja Bala:
Channel-separable halftone independent methods for color drift correction. J. Electronic Imaging 17(1): 013003 (2008) - [c15]Jon S. McElvain, Vishal Monga, Charles M. Hains, Manu Parmar:
Estimating printer misregistration from color shifts: a new paradigm. Color Imaging: Processing, Hardcopy, and Applications 2008: 680715 - [c14]Orhan Bulan, Gaurav Sharma, Vishal Monga:
On the capacity of orientation modulation halftone channels. ICASSP 2008: 1685-1688 - [c13]Orhan Bulan, Gaurav Sharma, Vishal Monga:
Adaptive decoding for halftone orientation-based data hiding. ICIP 2008: 1280-1283 - [c12]Vishal Monga, Raja Bala:
Sort-Select-Damp: An efficient strategy for color look-up table lattice design. Color Imaging Conference 2008: 247-253 - [c11]Orhan Bulan, Vishal Monga, Gaurav Sharma, Basak Oztan:
Data embedding in hardcopy images via halftone-dot orientation modulation. Security, Forensics, Steganography, and Watermarking of Multimedia Contents 2008: 68190C - [i1]Yucel Altug, Mehmet Kivanç Mihçak, Onur Özyesil, Vishal Monga:
Reliable Communications with Asymmetric Codebooks: An Information Theoretic Analysis of Robust Signal Hashing. CoRR abs/0809.1910 (2008) - 2007
- [j6]Vishal Monga, Mehmet Kivanç Mihçak:
Robust and Secure Image Hashing via Non-Negative Matrix Factorizations. IEEE Trans. Information Forensics and Security 2(3-1): 376-390 (2007) - [j5]Vishal Monga, Niranjan Damera-Venkata, Brian L. Evans:
Design of Tone-Dependent Color-Error Diffusion Halftoning Systems. IEEE Trans. Image Processing 16(1): 198-211 (2007) - [c10]Vishal Monga, Shen-Ge Wang, Raja Bala:
Halftone independent methods for color drift correction. Color Imaging: Processing, Hardcopy, and Applications 2007: 649315 - [c9]Vishal Monga, Raja Bala:
Two-dimensional color correction: Recent advances. Color Imaging Conference 2007: 48-53 - 2006
- [j4]Vishal Monga, Arindam Banerjee, Brian L. Evans:
A clustering based approach to perceptual image hashing. IEEE Trans. Information Forensics and Security 1(1): 68-79 (2006) - [j3]Vishal Monga, Brian L. Evans:
Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs. IEEE Trans. Image Processing 15(11): 3452-3465 (2006) - [c8]Vishal Monga, Mehmet Kivanç Mihçak:
Robust Image Hashing Via Non-Negative Matrix Factorizations. ICASSP (2) 2006: 225-228 - [c7]Oztan Harmanci, Vishal Monga, Mehmet Kivanç Mihçak:
Geometrically Invariant Image Watermarking via Robust Perceptual Hashes. ICIP 2006: 1397-1400 - 2005
- [j2]