DeepAI AI Chat
Log In Sign Up

Reversing Image Signal Processors by Reverse Style Transferring

by   Furkan Kınlı, et al.

RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB images to RAW format. Mapping from sRGB to RAW format could be a relevant domain for reverse style transferring since the task is an ill-posed reversing problem. In this study, we seek an answer to the question: Can the ISP operations be modeled as the style factor in an end-to-end learning pipeline? To investigate this idea, we propose a novel architecture, namely RST-ISP-Net, for learning to reverse the ISP operations with the help of adaptive feature normalization. We formulate this problem as a reverse style transferring and mostly follow the practice used in the prior work. We have participated in the AIM Reversed ISP challenge with our proposed architecture. Results indicate that the idea of modeling disruptive or modifying factors as style is still valid, but further improvements are required to be competitive in such a challenge.


page 8

page 9


Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems

Inverse problems play a central role for many classical computer vision ...

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Text style transfer aims to alter the style (e.g., sentiment) of a sente...

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

This paper reviews the second AIM learned ISP challenge and provides the...

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata

Most camera images are rendered and saved in the standard RGB (sRGB) for...

Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement

With the advent of deep learning methods replacing the ISP in transformi...

Patch-wise Contrastive Style Learning for Instagram Filter Removal

Image-level corruptions and perturbations degrade the performance of CNN...

Invertible Tone Mapping with Selectable Styles

Although digital cameras can acquire high-dynamic range (HDR) images, th...