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Publications @ LFOVIA

Book Chapters

  1. D. Brunet, S. S. Channappayya, Z. Wang, A. C. Bovik, E. R. Vrscay, “Optimizing Image Quality,” in Handbook of Convex Optimization Methods in Imaging Science, pp 15-41, Ed. V. Monga, Springer 2017.

  2. S. S. Channappayya, A. C. Bovik, “Structural Similarity Index Based Optimization,” in Encyclopedia of Multimedia, Ed. B. Furht, Springer 2008.

Journal Articles

2023

  1. C. R. Pochimireddy, A. T. Siripuram, S. S. Channappayya, “Can Perceptual Guidance Lead to Semantically Explainable Adversarial Perturbations?,” IEEE Journal of Special Topics in Signal Processing. DOI:10.1109/JSTSP.2023.3258253. [Abstract]

2022

  1. S. R. Bhavanam, S. S. Channappayya, P. K. Srijith, S. Desai, “Cosmic Ray Rejection with Attention Augmented Deep Learning,” Astronomy and Computing. [Pre-print]. DOI:10.1016/j.ascom.2022.100625.

  2. Md. Shahid, Abhishek B., S. S. Channappayya, “A Cross-Platform HD Dataset and a Two-Step Framework for Robust Aerial Image Matching,” IEEE Access. DOI:10.1109/ACCESS.2022.3184328.

  3. V. Chandrakanth, V. S. N. Murthy, S. S. Channappayya, “Siamese Cross Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos,” IEEE Transactions on Artificial Intelligence. DOI: 10.1109/TAI.2022.3151307.

2021

  1. N. S. Mahankali, M. Raghavan, S. S. Channappayya, “No-Reference Video Quality Assessment Using Voxel-wise fMRI Models of the Visual Cortex,” IEEE Signal Processing Letters. DOI: 10.1109/LSP.2021.3136487.

  2. P. Kancharla, S. S. Channappayya, “Completely Blind Quality Assessment of User Generated Video Content,” IEEE Transactions on Image Processing. DOI: 10.1109/TIP.2021.3130541. [Abstract, Code]

  3. V. Chandrakanth, V. S. N. Murthy, S. S. Channappayya, “UAV based Autonomous Detection and Tracking of Beyond Visual Range (BVR) Non-Stationary Targets Using Deep Learning,” Journal of Real-Time Image Processing. DOI: 10.1007/s11554-021-01185-w. [Abstract]

  4. P. Kancharla, S. S. Channappayya, “Improving the Visual Quality of Video Frame Prediction Models Using the Perceptual Straightening Hypothesis,” IEEE Signal Processing Letters. DOI: 10.1109/LSP.2021.3118639. [Abstract, Code]

  5. S. Mitra, R. Soundararajan, S. S. Channappayya, “Predicting Spatio-temporal Entropic Differences for Robust No Reference Video Quality Assessment,’’ IEEE Signal Processing Letters. DOI: 10.1109/LSP.2021.3049682. [Abstract, Code]

2020

  1. S. V. R. Dendi, S. S. Channappayya, “No-Reference Video Quality Assessment Using Natural Spatiotemporal Scene Statistics,” IEEE Transactions on Image Processing. DOI: 10.1109/TIP.2020.2984879. [Abstract, Code]

  2. M. Amarlingam, K. V. V. Durga Prasad, P. Rajalakshmi, S. S. Channappayya, C. S. Sastry, “A Novel Low-complexity Compressed Data Aggregation Method for Energy-constrained IoT Networks,” IEEE Transactions on Green Communications and Networking. DOI: 10.1109/TGCN.2020.2966798. [Abstract]

2019

  1. N. Eswara, S. Chakraborty, H. P. Sethuram, K. Kuchi, A. Kumar, S. S. Channappayya, “Perceptual QoE-optimal Resource Allocation for Adaptive Video Streaming,” IEEE Transactions on Broadcasting. DOI: 10.1109/TBC.2019.2954064. [Abstract]

  2. B. Appina, S. V. R. Dendi, K. Manasa, S. S. Channappayya, A. C. Bovik, “Study of Subjective Quality and Objective Blind Quality Prediction of Stereoscopic Videos,” IEEE Transactions on Image Processing. DOI: 10.1109/TIP.2019.2914950. [Abstract, Code].

  3. N. Eswara, Ashique S., A. Panchbhai, S. Chakraborty, H. P. Sethuram, K. Kuchi, A. Kumar, S. S. Channappayya, “Streaming Video QoE Modeling and Prediction: A Long Short-Term Memory Approach,” IEEE Transactions on Circuits and Systems for Video Technology (CSVT). DOI: 10.1109/TCSVT.2019.2895223. [Abstract, Code].

  4. K. J. Francis, B. Chinni, S. S. Channappayya, R. Pachamuthu, V. S. Dogra, N. Rao, “Multiview Spatial Compounding Using Lens-Based Photoacoustic Imaging System,” Photoacoustics, DOI: 10.1016/j.pacs.2019.01.002. [PDF].

2018

  1. S. V. R. Dendi, C. Dev, N. Kothari, S. S. Channappayya, “Generating Image Distortion Maps Using Convolutional Autoencoders with Application to No Reference Image Quality Assessment,” IEEE Signal Processing Letters DOI: 10.1109/LSP.2018.2879518. [Abstract, Code].

  2. M. Amarlingam, P. K. Mishra, P. Rajalakshmi, S. S. Channappayya, C. S. Sastry, “Novel Light Weight Compressed Data Aggregation Using Sparse Measurements for IoT Networks,” Elsevier Journal of Networking and Computer Applications doi.org/10.1016/j.jnca.2018.08.004. [Abstract].

  3. S. Khan Md., S. S. Channappayya, “Estimating Depth-Salient Edges And Its Application To Stereoscopic Image Quality Assessment,” IEEE Transactions on Image Processing DOI: 10.1109/TIP.2018.2860279. [Abstract, Code].

  4. K. J. Francis, B. Chinni, S. S. Channappayya, R. Pachamuthu, V. S. Dogra, N. Rao, “Two Sided Residual Refocusing for Acoustic Lens Based Photoacoustic Imaging System,” IOP Physics in Medicine and Biology, DOI: 10.1088/1361-6560/aac8c5. [Abstract].

  5. B. Appina, S. S. Channappayya, “Full-Reference 3-D Video Quality Assessment Using Scene Component Statistical Dependencies,” IEEE Signal Processing Letters DOI: 10.1109/LSP.2018.2829107. [Abstract, Code].

2017

  1. K. J. Francis, B. Chinni, S. S. Channappayya, R. Pachamuthu, V. S. Dogra, N. Rao, “Characterization of Lens Based Photoacoustic Imaging System,” Photoacoustics, DOI:10.1016/j.pacs.2017.09.003. [PDF].

  2. N. Eswara, Manasa K., A. Kommineni, S. Chakraborty, H. P. Sethuram, K. Kuchi, A. Kumar, S. S. Channappayya, “A Continuous QoE Evaluation Framework for Video Streaming over HTTP,” IEEE Transactions on Circuits and Systems for Video Technology (CSVT), DOI:10.1109/TCSVT.2017.2742601. [Abstract, Dataset].

2016

  1. R. R. Tamboli, B. Appina, S. S. Channappayya, S. Jana, “Super-Multiview Content with High Angular Resolution: 3D Quality Assessment on Horizontal-Parallax Lightfield Display,” Signal Processing: Image Communication, DOI:10.1016/j.image.2016.05.010. [Abstract].

  2. Manasa K., S. S. Channappayya, “An Optical Flow-Based Full Reference Video Quality Assessment Algorithm,” IEEE Transactions on Image Processing vol. 25, no. 9, pp 2480-2492, 2016 DOI:10.1109/TIP.2016.2548247. [Abstract, Code].

  3. B. Appina, S. Khan Md, S. S. Channappayya, “No-reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics,” Signal Processing: Image Communication. Volume 43, April 2016, Pages 1-14, DOI:10.1016/j.image.2016.02.001. [Abstract, Code].

2015

  1. S. Khan Md, B. Appina, S. S. Channappayya, “Full-reference Stereo Image Quality Assessment Using Natural Stereo Scene Statistics,” IEEE Signal Processing Letters, vol. 22, no. 11, pp 1985-1989, 2015 DOI: 10.1109/LSP.2015.2449878. [Abstract, Code].

2014

  1. J. Chhablani, S. S. Channappayya, A. Richhariya, “Can an automated algorithm identify choriocapillaris in 2D-optical coherence tomography images?,” Expert Review of Ophthalmology, DOI 10.1586/17469899.2014.922875. [Abstract]

Pre-2012

  1. J. Ostergaard, M. S. Derpich, and S. S. Channappayya, “The High-Resolution Rate-Distortion Function under the Structural Similarity Index,” EURASIP Journal on Advances in Signal Processing, Special issue on “Theory and Application of General Linear Image Processing”, vol. 2011, Article ID 857959, 7 pages, 2011, DOI:10.11552011857959.

  2. S. S. Channappayya, A. C. Bovik, and R. W. Heath Jr., “Rate Bounds on SSIM Index of Quantized Images,” IEEE Transactions on Image Processing, vol. 17, no. 9, pp 1624-1639, Sep. 2008, DOI: 10.1109/TIP.2008.2001400.

  3. S. S. Channappayya, A. C. Bovik, C. Caramanis, and R. W. Heath Jr., “Design of Linear Equalizers Optimized for the Structural Similarity Index,” IEEE Transactions on Image Processing, vol. 17, no. 6, pp 857-872, June 2008, DOI: 10.1109/TIP.2008.921328.

Conference and Workshop Publications

2024

  1. A. Pendota, S. S. Channappayya, “Are Deep Learning Models Pre-trained on RGB Data Good Enough for RGB-Thermal Image Retrieval?,” accepted to Image Matching: Local Features & Beyond at CVPR 2024.

  2. N. Suresh, S. S. Channappayya, “Graph-based No-Reference Video Quality Assessment Using Spatial Features,” accepted to SPCOM 2024.

  3. I. Bardhan, S. S. Channappayya, A. Banerjee, A. R. Mohammad Forkan, P. P. Jayaraman, A. Kumar, “Are Standard CNNs Good Enough for No-Reference Stereoscopic Image Quality Assessment?,” accepted to SPCOM 2024.

  4. S. K. Amalapuram, B. R. Tamma, S. S. Channappayya, “SPIDER: A Semi-Supervised Continual Learning-based Network Intrusion Detection System,” accepted to IEEE INFOCOM 2024.

2023

  1. S. K. Amalapuram, S. S. Channappayya, B. R. Tamma, “Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection,” Proc. NeurIPS 2023.

  2. A. Ramachandran, S. S. Channappayya, “Perceptually-Inspired Local Source Normalization for Adversarial Robustness,” Proc. AIML Systems 2023.

  3. A. Shyam, K. Komalavally, M. Gautam, V. Kancharla, V. Gudisa, V. Patil, A. Balasubramanian, S. S. Channappayya, “An Automotive Radar Dataset for Object Classification,” Proc. ICASSP 2023.

2022

  1. S. R. Bhavanam, S. S. Channappayya, P. K. Srijith, S. Desai, “Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation,” Proc. EUSIPCO 2022.

  2. N. Suresh, M. Pavan Manesh, N. S. Mahankali, S. S. Channappayya, “A Fast and Efficient No-Reference Video Quality Assessment Algorithm Using Video Action Recognition Features,” Proc. NCC 2022.

  3. S. K. Amalapuram, A. Tadwai, R. Vinta, S. S. Channappayya, B. R. Tamma, “Continual Learning for Anomaly based Network Intrusion Detection,” Proc. COMSNETS 2022.

2021

  1. S. K. Amalapuram, T. R. Tippi, S. S. Channappayya, B. R. Tamma, “On Handling Class Imbalance in Continual Learning based Network Intrusion Detection Systems,” Proc. First International Conference on AI-ML Systems 2021, Bengaluru, India.

  2. Md. Shahid, S. S. Channappayya, “Aerial Cross-platform Path Planning Dataset,” Proc. ICCV Workshop on Analysis of Aerial Motion Imagery (WAAMI) 2021. [Dataset]

  3. Md. Shahid, S. S. Channappayya, “Surveying for Man-made Objects in Photographic Images,” Proc. SPIE Security + Defence Conference on Target and Background Signatures VII.

  4. N. S. Mahankali, S. S. Channappayya, “Video Quality Prediction Using Voxel-wise fMRI Models of the Visual Cortex,” Proc. ICASSP 2021.

  5. F. K. Joseph, A. Arora, P. Kancharla, M. K. A. Singh, W. Steenbergen, S. S. Channappayya “Generative adversarial network-based photoacoustic image reconstruction from bandlimited and limited-view data,” Proc. SPIE Photons Plus Ultrasound: Imaging and Sensing 2021.

2020

  1. V. Chandrakanth, V. S. N. Murthy, S. S. Channappayya, “Target Tracking in Blind Range of Radars with Deep Learning,” Proc. International Radar Symposium 2020, Poland.

  2. S. V. R. Dendi, C. Dev, N. Kothari, S. S. Channappayya, “LQAID: Localized Quality Aware Image Denoising using Deep Convolutional Neural Networks,” Proc. ICASSP 2020, Barcelona, Spain.

2019

  1. P. Kancharla, S. S. Channappayya, “Quality Aware Generative Adversarial Networks,” Thirty-third Conference on Neural Information Processing Systems (NeurIPS) 2019, Vancouver, Canada. [PDF, Code].

  2. A. K. Venkataraman, S. Gupta, S. S. Channappayya, “Perceptually Driven Conditional GAN for Fourier Ptychography,” Proc. IEEE Asilomar Conference on Signals, Systems and Computers 2019, Pacific Grove, CA, USA.

  3. C. Ravuri, R. Sureddi, S. V. R. Dendi, S. Raman, S. S. Channappayya, “Deep No-reference Tone Mapped Image Quality Assessment,” Proc. IEEE Asilomar Conference on Signals, Systems and Computers 2019, Pacific Grove, CA, USA.

  4. S. Khan, S. S. Channappayya, “Full Reference Stereoscopic Video Quality Assessment Based on Spatio-Depth Saliency and Motion Strength,” Proc. of NCC 2019, IISc Bangalore, February 2019.

  5. S. V. R. Dendi, G. Krishnappa, S. S. Channappayya, “Full-Reference Video Quality Assessment Using Deep 3D Convolutional Neural Networks,” Proc. of NCC 2019, IISc Bangalore, February 2019.

  6. P. Kancharla, S. S. Channappayya, “A weighted optimization for Fourier Ptychographic Microscopy,” Proc. of NCC 2019, IISc Bangalore, February 2019.

2018

  1. P. Kancharla, S. S. Channappayya, “Improving the Visual Quality of Generative Adversarial Network (GAN)-generated Images Using the Multi-scale Structural Similarity Index,” Proc. of ICIP 2018, Athens, Greece, October 2018.

  2. B. Appina, A. Jalli, S. S. Battula, S. S. Channappayya, “No-Reference Stereoscopic Video Quality Assessment Algorithm Using Joint Motion and Depth Statistics,” Proc. of ICIP 2018, Athens, Greece, October 2018.

  3. H. Machiraju, S. S. Channappayya, “An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System,” Proc. of ICIP 2018, Athens, Greece, October 2018.

  4. C. P. Konkimalla, M. S. Yellapragada, T. Gayam, S. Mandal, S. S. Channappayya, “Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application,” Proc. of ICIP 2018, Athens, Greece, October 2018.

  5. R. R. Tamboli, S. Manne, P. A. Kara, M. G. Martini, S. S. Channappayya, S. Jana, “A High-angular-resolution Turntable Data-set for Experiments on Light Field Visualization Quality,” Proc. of QoMEX 2018, Sardinia, Italy, May 2018.

  6. R. R. Tamboli, B. Appina, P. A. Kara, M. G. Martini, S. S. Channappayya, S. Jana, “Effect of Primitive Features of Content on Perceived Quality of Light Field Visualization,” Proc. of QoMEX 2018, Sardinia, Italy, May 2018.

  7. N. Eswara, S. Chakraborty, H. P. Sethuram, K. Kuchi, A. Kumar, S. S. Channappayya, “Modeling Continuous Video QoE Evolution: A State Space Approach,” Proc. of ICME 2018, San Diego, USA, July 2018.

  8. S. Khan Md, “Full Reference Quality Assessment of Full HD Images Using Combined Saliency Priors in Multi-Scale,” Proc. of NCC 2018, Hyderabad, India, February 2018.

2017

  1. R. R. Tamboli, B. Appina, S. S. Channappayya, S. Jana, “Achieving High Angular Resolution Via View Synthesis: Quality Assessment of 3D Content on Super Multiview Lightfield Display,” Proc. of IC3D 2017, Brussels, Belgium, December 2017.

  2. N. Eswara, S. V. R. Dendi, S. Chakraborty, H. Sethuram, K. Kuchi, A. Kumar, S. S. Channappayya, “A Linear Regression Framework for Assessing Time-varying Subjective Quality in HTTP Streaming,” Proc. of IEEE GlobalSIP 2017, Montreal, Canada, November 2017.

  3. M. Shabeer, S. Bhati, S. S. Channappayya, “Modeling Sparse Spatio-temporal Representations for No-reference Video Quality Assessment,” Proc. of IEEE GlobalSIP 2017, Montreal, Canada, November 2017.

  4. A. Kumar, S. Gupta, S. Chandra, S. Raman, S. S. Channappayya, “No-Reference Quality Assessment of Tone Mapped High Dynamic Range (HDR) Images Using Transfer Learning,” Proc. of QoMEX 2017, Erfurt, Germany, June 2017.

  5. B. Appina, K. Manasa, S. S. Channappayya, “A Full Reference Stereoscopic Video Quality Assessment Metric,” Proc. of ICASSP 2017, New Orleans, LA, USA, March 2017.

  6. B. Appina, K. Manasa, S. S. Channappayya, “Subjective and objective study of the relation between 3D and 2D views based on depth and bitrate,” Proc. of IS & T Electronic Imaging 2017, Burlingame, CA, USA, January 2017.

2016

  1. S. Khan Md, S. S. Channappayya, “Sparsity Based Stereoscopic Image Quality Assessment,” Proc. of Asilomar Conference on Signals, Systems and Computers 2016, Pacific Grove, CA, USA, November 2016.

  2. K. J. Francis, P. Mishra, P. Rajalakshmi, A. Richhariya, S. S. Channappayya, “A Simple and Accurate Matrix for Model Based Photoacoustic Imaging,” Proc. of IEEE Healthcom 2016, Munich, Germany, September 2016.

  3. Manasa K., S. S. Channappayya, “An Optical Flow-Based No-Reference Video Quality Assessment Algorithm,” Proc. of IEEE ICIP 2016, Phoenix, AZ, USA, September 2016.

  4. K. V. S. N. L. Manasa Priya, B. Appina, S. S. Channappayya, “No-Reference Image Quality Assessment Using Statistics of Sparse Representations,” Proc. of SPCOM 2016, Bengaluru, June 2016.

  5. S. Khan Md, S. S. Channappayya, “Multiscale-SSIM Index based Stereoscopic Image Quality Assessment,” Proc. of NCC 2016 IIT Guwahati, India, March 2016.

  6. N. Eswara, S. S. Channappayya, A. Kumar, K. Kuchi, “eTVSQ based Video Rate Adaptation in Cellular Networks With α-Fair Resource Allocation,” Proc. of IEEE WCNC 2016, Doha, Qatar, April 2016.

2015

  1. M. Akshai Krishna, Sai Sheetal Chandra, S. S. Channappayya, S. Raman, "A Subjective and Objective Quality Assessment of Tone-Mapped Images,’’ Proc. of IEEE GlobalSIP 2015, Orlando, FL, USA, December 2015.

  2. S. Vignesh, K. V. S. N. L. Manasa Priya, S. S. Channappayya, "Face Image Quality Assessment for Face Selection in Surveillance Video using Convolutional Neural Networks,’’ Proc. of IEEE GlobalSIP 2015, Orlando, FL, USA, December 2015.

  3. K. J. Francis, P. Rajalakshmi, S. S. Channappayya, "Distributed Compressed Sensing for Photo-Acoustic Imaging,’’ Proc. of IEEE ICIP 2015, Quebec City, Canada, September 2015.

  4. S. Sadhana Reddy, K. Manasa, S. S. Channappayya, "Video Packet Priority Assignment Based on Spatio-Temporal Perceptual Importance,’’ Proc. of NCC 2015, IIT Bombay.

  5. V. Neeluri, P. Dendi, M. Chandrashekhar Bh., S. S. Channappayya, S. Medasani, “Blind Image Quality Evaluation Using Perception Based Features,” Proc. of NCC 2015, IIT Bombay.

2014

  1. R. R. Tamboli, K. K. Vupparaboina, J. R. Regatti, S. Jana, S. S. Channappayya, "A Subjective Evaluation of True 3D Images,’’ Proc. of IEEE IC3D 2014, Liege, Belgium, December 2014.

  2. K. V. S. N. L. Manasa Priya, S. S. Channappayya, "A Novel Sparsity-inspired Blind Image Quality Assessment Algorithm,’’ Proc. of IEEE GlobalSIP 2014, Atlanta, USA, December 2014.

  3. K. J. Francis, S. S. Channappayya, P. Rajalakshmi, "Wavelet Domain Frequency interpolation for Photo-acoustic Tomography,’’ Proc. of IEEE MedCom 2014, Noida, India, November 2014.

  4. K. Manasa, K. V. S. N. L. Manasa Priya, S. S. Channappayya, "A Perceptually Motivated No-reference Video Quality Assessment Algorithm for Packet Loss Artifacts,’’ Proc. of QoMEX 2014, Singapore, September 2014.

  5. P. Dendi, V. Neeluri, M. Chandrasekar Bh, S. S. Channappayya, S. Medasani, "Blind Distortion Classification Using Content and Perception Based Features,’’ Proc. of QoMEX 2014, Singapore, September 2014.

  6. K. V. S. N. L. Manasa Priya, K. Manasa, S. S. Channappayya, "A Statistical Evaluation of Sparsity-based Distance Measure (SDM) as an Image Quality Assessment Algorithm,’’ Proc. of ICASSP 2014, Florence, Italy, May 2014.

  7. K. Abhishek, M. Haloi, S. S. Channappayya, S. Vanjari, D. Dendukuri, S. Swathy, T. Choudhary, P. Bhandari, "An Enhanced Algorithm for the Quantification of Human Chorionic Gonadotropin (hCG) Level in Commercially Available Home Pregnancy Test Kits,’’ Proc. of NCC 2014, IIT Kanpur, India, February 2014.

  8. S. Kakileti, S. S. Channappayya, A. Richhariya, J. Chhablani, "An Automated Algorithm for the Identification of Choriocapillaris in 2D-OCT Images,’’ Proc. of SPIE Medical Imaging 2014, San Diego, CA, USA, February 2014.

2013

  1. K. Manasa, K. V. S. N. L. Manasa Priya, S. Sadhana Reddy, S. S. Channappayya, S. Vanjari, D. Dendukuri, S. Swathy, T. Choudhary, P. Bhandari, “An Automated Algorithm for the Quantification of hCG Level in Novel Fabric-based Home Pregnancy Test Kits,” Proc. of IEEE Asilomar Conference on Signals, Systems and Computers 2013, Pacific Grove, CA USA, November 2013.

  2. N. R. Mahajan, R. C. Reddy Donapati, S. S. Channappayya, S. Vanjari, A. Richhariya, J. Chhablani, “An Automated Algorithm for Blood Vessel Count and Area Measurement in 2-D Choroidal Scan Images,” Proc. of IEEE EMBC 2013, Osaka, Japan, July 2013.

  3. K. T. Javvadi Appanacharya, A. K. Tatinati, H. K. Kunderu, S. K. Mohammad, S. S. Channappayya, A. Acharyya, S. Tripathi, “A Low-cost Scalable Solution for Digitizing Analog X-rays with Applications to Rural Healthcare,” Proc. of IEEE EMBC 2013, Osaka, Japan, July 2013.

Pre-2012

  1. G. S. Muralidhar, S. S. Channappayya, J.H. Slater, E.M. Blinka, A.C. Bovik, W. Frey and M.K. Markey, “Comparison of pre-processing techniques for fluorescence microscopy images of cells labeled for actin,” Proc. of American Medical Information Annual Symposium, Washington D. C., USA, November 08-12, 2008.

  2. S. S. Channappayya, A. C. Bovik, and R. W. Heath Jr., “Perceptual Soft Thresholding Using the Structural Similarity Index,” Proc. of ICIP 2008, San Diego, CA, USA.

  3. S. S. Channappayya, A. C. Bovik, R. W. Heath Jr., and C. Caramanis, “Rate Bounds on SSIM Index of Quantized Image DCT Coefficients,” Proc. of Data Compression Conference, (DCC) 2008, Snowbird, UT, USA.

  4. S. S. Channappayya, A. C. Bovik, C. Caramanis, and R. W. Heath Jr., “SSIM-Optimal Linear Image Restoration,” Proc. of ICASSP 2008, Las Vegas, NV, USA.

  5. S. S. Channappayya, A. C. Bovik, and R. W. Heath Jr., “A Linear Estimator Optimized for the Structural Similarity Index and its Application to Image Denoising,” Proc. of ICIP 2006, Atlanta, GA, USA.

  6. S. S. Channappayya, J. Lee, R. W. Heath Jr., and A. C. Bovik, “Frame Based Multiple Description Image Coding in The Wavelet Domain,” Proc. of ICIP 2005, Genova, Italy.

  7. S. S. Channappayya, R. W. Heath Jr., and A. C. Bovik, “Multiple Description Image Coding Using Natural Scene Statistics,” Proc. of ICASSP 2005, Philadelphia, PA, USA.

  8. S. S. Channappayya, G. P. Abousleman and L. J. Karam, “Coding of digital imagery for transmission over multiple noisy channels,” Proc. of ICASSP 2001, Salt Lake City, UT, USA.

  9. S. S. Channappayya, G. P. Abousleman and L. J. Karam, “Joint Source Channel Coding of Images Using Punctured Convolutional Codes and Trellis-Coded Quantization,” Proc. of ISCAS 2001, Sydney, Australia.

  10. S. S. Channappayya, G. P. Abousleman and L. J. Karam, “Image coding for transmission over multiple noisy channels using punctured convolutional codes and trellis-coded quantization,” Proc. of ICIP 2001, Thessaloniki, Greece.