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Papers Local Color Enhancement

“Local Color Enhancement” 태그가 달린 논문 5편 · 필터 해제

An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions

2022-07-17 · Computer Methods and Programs in Biomedicine 2022 7 · Vipin Venugopal, Justin Joseph, M. Vipin Das, Malaya Kumar Nath

Background and objective: During the initial stages, skin lesions may not have sufficient intensity difference or contrast from the background region on dermatological macro-images. The lack of proper light exposure at t…

Lesion SegmentationLocal Color EnhancementSkin Lesion SegmentationTransfer Learning

Histogram Equalization Of The Image

2021-08-29 · Irem Doken, Melih Gokdemir, W. T Al-Shaibani, Ibraheem Shayea

The relevance and impact of probability distributions on image processing are the subject of this study.It may be characterized as a probability distribution function of brightness for a certain area, which might be a wh…

Local Color Enhancement

Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints

2021-08-15 · Akshansh Mishra

Image processing algorithms are finding various applications in manufacturing and materials industries such as identification of cracks in the fabricated samples, calculating the geometrical properties of the given micro…

FrictionLocal Color Enhancement

PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing

2019-12-16 · Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

This paper tackles a new problem setting: reinforcement learning with pixel-wise rewards (pixelRL) for image processing. After the introduction of the deep Q-network, deep RL has been achieving great success. However, th…

Deep Reinforcement LearningDenoisingImage DenoisingImage Restoration+4

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing

2018-11-10 · Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki

This paper tackles a new problem setting: reinforcement learning with pixel-wise rewards (pixelRL) for image processing. After the introduction of the deep Q-network, deep RL has been achieving great success. However, th…

DenoisingImage DenoisingImage RestorationLocal Color Enhancement+3
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