This module can extract low-light image features from multiple scales, thereby obtaining richer feature information.
This study presents a versatile Low-Light Enhancement Module (LLEM) to enhance object detection models, particularly for workpieces in challenging lighting conditions. The LLEM
Adjust image color balance. This class can be used to adjust the colour balance of an image, in a manner similar to the controls on a colour TV set. An
Instructions: This module only contains some of the Silent Hill 2 enhancements. For all of the features of Silent Hill 2 Enhanced Edition see the
Check out my other mod: Enhanced Wetness and Puddles. Enhanced Lights and FX has the goal to create a more dramatic and realistic mood to the Skyrim
Capturing images in low-light conditions often leads to poor visual effects and failures of vision systems. Low-light images typically suffer from poor visibility and a lack of detailed features. MIMO-UNet is
Transform the mood and atmosphere of your photos with our free AI lighting editor. Add golden hour warmth, dramatic shadows, studio lighting, or any lighting
Realistic Lighting Overhaul is here! Ready for Skyrim Special Edition! This is a massive overhaul of Skyrim''s lighting. Exteriors also vastly overhauled!
This paper proposes a light field depth estimation network based on edge enhancement and feature modulation, which significantly improves depth estimation results by emphasizing inter
Literature 32 designed a multi-level functional cross-integration module and attention refinement module to overcome the problem of poor detection effects in low-light settings.
GM-MoE comprises a dynamic gated weight conditioning network and three sub-expert networks, each specializing in a distinct enhancement task. Combining a self-designed gated
To address the issues of loss of important detailed features, insufficient contrast enhancement, and high computational complexity in existing
The result shows DiffLight have the best performance between SOTAs. Image Enhancement (LLIE) task is to brighten images, en- hance contrast, mitigate image degradation, and alleviate severe image
Abstract—Images in low-light conditions typically exhibit significant degradation such as low contrast, color shift, noise and artifacts, which diminish the accuracy of the recognition task in computer vision.
A conventional solution is that image enhancement approaches are used as a separate pre-processing module to improve the quality of degraded image. However, this two-step approach
In this paper, we propose a Fourier-based two-stage low-light image enhancement method via mutual learning (FT-LLIE), which sequentially enhance the amplitude and phase
This paper presents an unsupervised learning framework for nighttime image enhancement that simultaneously enhances dark regions and
To address these problems, this paper proposes a low-light image enhancement model based on an adaptive enhancement matrix. The proposed
Traditional object detection algorithms struggle in low-light environments due to degraded image quality and reduced contrast. This paper proposes LOD-YOLO, a lightweight low-light object
Light enhancement is defined as a fundamental technique for improving the visual perception and interpretability of images and videos that suffer from low light degradation. It encompasses methods
Enhanced Lights and FX has the goal to create a more dramatic and realistic mood to the Skyrim lights by adding lights to all light sources and removing any light without a source, as well
Pre-processing techniques such as low-light image improvement have a wide variety of practical uses. Enhancing optical acuity and the caliber of photos taken in low-light are the
On a Snapdragon 8 Gen 3 mobile processor, LiteIE runs at 30 FPS for 4K images with just 58 parameters, enabling real-time deployment on edge devices. These results establish LiteIE
RW Enhancer is a graphics enhancement addon for Train Simulator Classic. This addon will improve your Train Simulator experience by
Low-light image enhancement (LLIE) aims to improve the brightness of images under low illumination while preserving details and structural information. Although methods based on Retinex
An Illumination-Guided Event Enhancement Module (IG-EEM) is an architectural component designed to leverage both frame-based intensity images and event camera data for
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