Local Color Enhancement
3 papers with code • 1 benchmarks • 1 datasets
Enhancement techniques for improving the contrast between lesion and background skin on dermatological macro-images are limited in the literature. To fill this gap, a modified sigmoid transform is applied in the HSV color space. The crossover point in the modified sigmoid transform that divides the macro-image into lesion and background is predicted using a modified EfficientNet regressor to exclude manual intervention and subjectivity.
Most implemented papers
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
This paper tackles a new problem setting: reinforcement learning with pixel-wise rewards (pixelRL) for image processing.
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
However, the applications of deep reinforcement learning (RL) for image processing are still limited.
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
Enhancement techniques for improving the contrast between lesion and background skin on dermatological macro-images are limited in the literature.