Tools

Search

Explore

Videos Channels Figures

Atmrix

About

Tools

Search

Explore

Videos Channels Figures

Atmrix

About

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Total variation regularization is a widely used technique in image denoising that helps preserve sharp discontinuities in images.

Video

YC

Mathematical Approaches to Image Processing with Carola Schönlieb

@ Y Combinator

Mathematical Approaches to Image Processing with Carola Schönlieb

05/10/18

Related Takeaways

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Successful image denoising methods focus on preserving edges, which are crucial for maintaining the integrity of the image's features.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The goal in training a neural network for denoising images is to minimize the least squares error between the denoised and clean images across the training set.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

Denoising is integrated into the image reconstruction process, addressing both the lack of data and the noise present in measurements.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The integration of handcrafted models with neural networks presents exciting opportunities for mathematicians to explore and improve image denoising techniques.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

While handcrafted models for image denoising are still relevant, deep neural networks are increasingly outperforming them in various scenarios.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

My PhD focused on image restoration, specifically using differential equations to solve problems similar to those addressed by Photoshop's content-aware fill.

FL

Fei-Fei Li

09/21/24

@ a16z

Nerf, or Neural Radiance Fields, represents a breakthrough in backing out 3D structure from 2D observations, merging reconstruction and generation in computer vision.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The technique used for image restoration is similar to the content-aware fill feature in Photoshop, but it predates Photoshop's development.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

The motivation for using parameter estimation in image processing has shifted towards machine learning, which has generated more interest in this area.