Impact of a Sharpness Based Loss Function for Removing Out-of-Focus Blur

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Aurangabadkar, Uditangshu, Ramsook, Darren, Kokaram, Anil
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909788472868864
author Aurangabadkar, Uditangshu
Ramsook, Darren
Kokaram, Anil
author_facet Aurangabadkar, Uditangshu
Ramsook, Darren
Kokaram, Anil
contents Recent research has explored complex loss functions for deblurring. In this work, we explore the impact of a previously introduced loss function - Q which explicitly addresses sharpness and employ it to fine-tune State-of-the-Art (SOTA) deblurring models. Standard image quality metrics such as PSNR or SSIM do not distinguish sharpness from ringing. Therefore, we propose a novel full-reference image quality metric Omega that combines PSNR with Q. This metric is sensitive to ringing artefacts, but not to a slight increase in sharpness, thus making it a fair metric for comparing restorations from deblurring mechanisms. Our approach shows an increase of 15 percent in sharpness (Q) and up to 10 percent in Omega over the use of standard losses.
format Preprint
id arxiv_https___arxiv_org_abs_2509_11735
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Impact of a Sharpness Based Loss Function for Removing Out-of-Focus Blur
Aurangabadkar, Uditangshu
Ramsook, Darren
Kokaram, Anil
Image and Video Processing
Recent research has explored complex loss functions for deblurring. In this work, we explore the impact of a previously introduced loss function - Q which explicitly addresses sharpness and employ it to fine-tune State-of-the-Art (SOTA) deblurring models. Standard image quality metrics such as PSNR or SSIM do not distinguish sharpness from ringing. Therefore, we propose a novel full-reference image quality metric Omega that combines PSNR with Q. This metric is sensitive to ringing artefacts, but not to a slight increase in sharpness, thus making it a fair metric for comparing restorations from deblurring mechanisms. Our approach shows an increase of 15 percent in sharpness (Q) and up to 10 percent in Omega over the use of standard losses.
title Impact of a Sharpness Based Loss Function for Removing Out-of-Focus Blur
topic Image and Video Processing
url https://arxiv.org/abs/2509.11735