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seasonle's Projects

idbp icon idbp

Image Restoration by Iterative Denoising and Backward Projections

ircnn icon ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

jalali-lab-implementation-of-raisr icon jalali-lab-implementation-of-raisr

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.

kccareid icon kccareid

Matching People across Camera Views using Kernel Canonical Correlation Analysis

learn_prox_ops icon learn_prox_ops

Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"

mas icon mas

Milliarcsecond Resolution Using Photon Sieves

ngmeet icon ngmeet

Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"

nonlocalmatting icon nonlocalmatting

Research code for the "Nonlocal Matting" matting paper by P. Lee and Y. Wu in CVPR 2011.

osl-dynamics icon osl-dynamics

Methods for studying dynamic functional brain activity in neuroimaging data.

pixtransform icon pixtransform

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

pnp_ifb icon pnp_ifb

Plug and play inertial forward backward scheme for Poisson noise deconvolution, Denoiser = nuclear norm

python-neuro2018 icon python-neuro2018

Introduction to Scientific Computation in Python for Neuroscientists 2018

raisr icon raisr

##RAISR: Rapid and Accurate Image Super Resolution (Google)##

raisr-1 icon raisr-1

Google Rapid and Accurate Image Super Resolution

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