Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Star: A structure and texture aware retinex model
Retinex theory is developed mainly to decompose an image into the illumination and
reflectance components by analyzing local image derivatives. In this theory, larger …
reflectance components by analyzing local image derivatives. In this theory, larger …
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks
Background and objective Dermatological images are typically diagnosed based on visual
analysis of the skin lesion acquired using a dermoscope. However, the final quality of the …
analysis of the skin lesion acquired using a dermoscope. However, the final quality of the …
Multi-scale color constancy based on salient varying local spatial statistics
The human visual system unconsciously determines the color of the objects by “discounting”
the effects of the illumination, whereas machine vision systems have difficulty performing this …
the effects of the illumination, whereas machine vision systems have difficulty performing this …
Bag of color features for color constancy
In this paper, we propose a novel color constancy approach, called Bag of Color Features
(BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces …
(BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces …
Color constancy convolutional autoencoder
In this paper, we study the importance of pretraining for the generalization capability in the
color constancy problem. We propose two novel approaches based on convolutional …
color constancy problem. We propose two novel approaches based on convolutional …
Human color constancy based on the geometry of color distributions
The physical inputs to our visual system are dictated by the interplay between lights and
surfaces; thus, for surface color to be stably perceived, the influence of the illuminant must …
surfaces; thus, for surface color to be stably perceived, the influence of the illuminant must …
Deep learning-based imaging using single-lens and multi-aperture diffractive optical systems
The pressure to reduce weight and improve image quality of the imaging devices continues
to push research in the area of flat optics with computational image reconstruction. This …
to push research in the area of flat optics with computational image reconstruction. This …
Learning color constancy: 30 years later
The first paper investigating the use of machine learning to learn the relationship between
an image of a scene and the color of the scene illuminant was published by Funt et al. in …
an image of a scene and the color of the scene illuminant was published by Funt et al. in …
[HTML][HTML] Biologically inspired image invariance guided illuminant estimation using shallow and deep models
Estimating the illuminant from a color-biased image is an ill-posed problem without prior
information or invariance about the surfaces of a scene. Based on the classical image …
information or invariance about the surfaces of a scene. Based on the classical image …
Smm: Self-supervised multi-illumination color constancy model with multiple pretext tasks
Color constancy is an important ability of the human visual system to perceive constant
colors across different illumination. In this paper, we study a more practical yet challenging …
colors across different illumination. In this paper, we study a more practical yet challenging …