HyperAIHyperAI

Command Palette

Search for a command to run...

5 months ago

Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks

Mannam Varun ; Zhang Yide ; Zhu Yinhao ; Howard Scott

Instant Image Denoising Plugin for ImageJ using Convolutional Neural
  Networks

Abstract

We present a new convolutional neural network (CNN) based ImageJ plugin forfluorescence microscopy image denoising with an average improvement of 7.5 dBin peak signal-to-noise ratio (PSNR) and denoising instantly within 80 msec.

Code Repositories

Benchmarks

BenchmarkMethodologyMetrics
intensity-image-denoising-on-fmdNoise2Noise and DnCNN
PSNR: 7.5dB improvement

Build AI with AI

From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.

AI Co-coding
Ready-to-use GPUs
Best Pricing
Get Started

Hyper Newsletters

Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp
Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks | Papers | HyperAI