Winter 2022, EE367/CS448I: Computational Imaging

Instructors: Gordon Wetzstein, David Lindell, Mark Nishimura (TA)

Final Projects

# Team Members Project Title Mentor Proposal Report Poster Code
1 ZhuoYi Cai HDR image reconstruction from a single short-exposure image Manu Gopakumar PDF PDF PDF ZIP
2 Zhengyang Wei Depth from defocus approaches for video depth estimation Mark Nishimura PDF PDF PDF ZIP
3 Elizabeth Wig Denoising of inSAR phase closure David Lindell PDF PDF PDF ZIP
4 Qingxi Meng, Tracy Chen Single Noisy Image Depth Estimation with Multi-Scale Feature Fusion Module David Lindell PDF PDF PDF ZIP
5 Itamar Terem Denoising for amplified Magnetic Resonance Imaging (aMRI) Gordon Wetzstein PDF PDF PDF ZIP
6 Emil Emir Vardar, Elin Lovisa Byman Video denoising with local linear denoising and non-local means Gordon Wetzstein PDF PDF PDF ZIP
7 Jean-Christophe Miller Perrin Robust estimation of offset between images with strong spatial periodicity Mark Nishimura PDF PDF PDF ZIP
8 Chris Fritz Neural Radiance Fields (NeRF) for Novel View Synthesis Jeong Joon Park PDF PDF PDF ZIP
9 Arjun Dhawan, Varun Shenoy A Deep Learning Approach for Image Reconstruction from Smartphone Under Display Camera Technology Gordon Wetzstein PDF PDF PDF ZIP
10 Andrei Kanavalau Implementation of the weighted nuclear norm minimization for image denoising Qingqing Zhao PDF PDF PDF ZIP
11 Qingyue Wei, Xuetong Zhou Comparison of Randomly Undersampled Magnetic Resonance Imaging Reconstruction Methods Mark Nishimura PDF PDF PDF ZIP
12 Alex Richard Gogliettino, Amrith Lotlikar MonkeyNet: A CNN Decoder for Natural Image Reconstruction from Primate Retinal Ganglion Cells Alex Bergman PDF PDF PDF ZIP
13 Yueming Zhuo A Modified U-net for Dispersion Compensation of OCT Simulated Layered Images David Lindell PDF PDF PDF ZIP
14 Michelle Shi 3D Optical Profilometer Image Processing Mark Nishimura PDF PDF PDF ZIP
15 Haley So A Survey of Gradient Estimators for Binary Neural Networks for Image Classification Gordon Wetzstein PDF PDF PDF ZIP
16 Yixuan Shao Reconstruct a Hyperspectral Image from a Single Shot Manu Gopakumar PDF PDF PDF ZIP
17 Megan Zhang, Claire Zhang Reconstructing HDR Images using Non-Learning and Deep Learning Based Multi-exposure Image Synthesis Techniques Gordon Wetzstein PDF PDF PDF ZIP
18 Jessica Tawade, Rahul Shiv Few-Shot Meta-Learning for Image Denoising Cindy Nguyen PDF PDF PDF ZIP
19 Orr Zohar Programmable Sensors for Task-Specific Imaging Gordon Wetzstein PDF PDF PDF ZIP
20 Cynthia Chen Low-light image haze removal Qingqing Zhao PDF PDF PDF ZIP
21 Xiang Wu Evaluation of ADMM-based Poisson denoiser with different image priors on synthetic and real experimental images Manu Gopakumar PDF PDF PDF ZIP
22 Matt McCready Single Shot HDR Imaging via Compressed Sensing Manu Gopakumar PDF PDF PDF ZIP
23 Ike Osafo Nkansah, Guillermo de Leon Archila Deep-Demosaicking using CNNs Eric Chan PDF PDF PDF ZIP
24 Leo Dong Denoising Capacity of Implicit Image Representation Alex Bergman PDF PDF PDF ZIP
25 Bowen Song Personalized Patient-adaptive Sparse-View CT Deep Reconstruction David Lindell PDF PDF PDF ZIP
26 Yi-Shiou Duh Image simulation through scattering medium: Interplay between nanophotonics (near field) & Fourier optics (far field) David Lindell PDF PDF PDF ZIP
27 Ishan Taneja Dynamic window sizes for contrast estimation in interferometric scattering Mark Nishimura PDF PDF PDF ZIP
28 Jin Woo Baik Image Inpainting Suyeon Choi PDF PDF PDF ZIP
29 Zhuofan Xi Structure Analysis of Deep Image Prior Jeong Joon Park PDF PDF PDF ZIP
30 Sathya Ranjan Chitturi X-ray Photon Fluctuation Spectroscopy Analysis using Convolutional Neural Networks Gordon Wetzstein PDF PDF PDF ZIP
31 Oliver Johnson Comparison of Phase Retrieval Methods Suyeon Choi PDF PDF PDF ZIP
32 Siddarth Doshi, Chance Ornelas-Skarin Non-Negative Matrix Factorisation (NNMF) for Recovery of Time Traces from Overlapping Signals Gordon Wetzstein PDF PDF PDF ZIP