Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview

Zhuoran Zheng, Boxue Xiao
11/30/2023
cs.CV

No confident code implementation found for this paper.

Abstract

Currently, to further improve visual enjoyment, Ultra-High-Definition (UHD) images are catching wide attention. Here, UHD images are usually referred to as having a resolution greater than or equal to $3840 \times 2160$. However, since the imaging equipment is subject to environmental noise or equipment jitter, UHD images are prone to contrast degradation, blurring, low dynamic range, etc. To address these issues, a large number of algorithms for UHD image enhancement have been proposed. In this paper, we introduce the current state of UHD image enhancement from two perspectives, one is the application field and the other is the technology. In addition, we briefly explore its trends.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Challenges, Advances, and Evaluation Metrics in Medical Image Enhancement: A Systematic Literature Review

84% match2025

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study

84% match2024

DeepFusionNet: Autoencoder-Based Low-Light Image Enhancement and Super-Resolution

83% match2025

Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

82% match1 repo5862024

Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination

82% match1 repo52023

DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity

82% match1 repo212024

Cite this paper

@article{zheng2023advancements,
  title  = {Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview},
  author = {Zhuoran Zheng and Boxue Xiao},
  year   = {2023},
  eprint = {2312.00250},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.00250v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2312.00250.svg)](https://codeofpaper.com/paper/2312.00250)

Discussion