Image Denoising with Deep CNN
Budget: $10 – $12 CAD
I am working on an image denoising task using a deep convolutional network, utilizing the JUMP dataset. The focus is on denoising images with unstructured noise. The website for the dataset is: https://ai4life-mdc24.grand-challenge.org/ai4life-mdc24/. I need someone to conduct a few experiments with various algorithms and make some comparisons. The goal is to carry out some tests with minimal adjustments.
Key Requirements:
- Evaluate both quantitative (e.g., PSNR, SSIM values) and qualitative (visual comparison) aspects of the denoising algorithms.
- Conduct comparisons across different algorithms.
Ideal Skills:
- Expertise in deep learning and image processing.
- Familiarity with the JUMP dataset.
- Experience with evaluating and comparing machine learning models.
Please note that while I have not specified which algorithms to experiment with, you will have the freedom to choose from various options, including Convolutional Neural Networks (CNN), Autoencoders, and GANs (Generative Adversarial Networks).
I need it within a day( 18 hours max)
Key Requirements:
- Evaluate both quantitative (e.g., PSNR, SSIM values) and qualitative (visual comparison) aspects of the denoising algorithms.
- Conduct comparisons across different algorithms.
Ideal Skills:
- Expertise in deep learning and image processing.
- Familiarity with the JUMP dataset.
- Experience with evaluating and comparing machine learning models.
Please note that while I have not specified which algorithms to experiment with, you will have the freedom to choose from various options, including Convolutional Neural Networks (CNN), Autoencoders, and GANs (Generative Adversarial Networks).
I need it within a day( 18 hours max)