Gong et al., 2022 - Google Patents
Research on the method of color compensation and underwater image restoration based on polarization characteristicsGong et al., 2022
- Document ID
- 3192135264178268589
- Author
- Gong K
- Hua D
- Publication year
- Publication venue
- 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
External Links
Snippet
The attenuation degree of light in different bands is different when transmitting underwater, which leads to the problems of color distortion and blurred target details in the turbid underwater image. Combined with Monte Carlo simulation and measured experiments, this …
- 238000011160 research 0 title description 5
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Underwater image restoration via maximum attenuation identification | |
Schettini et al. | Underwater image processing: state of the art of restoration and image enhancement methods | |
CN106991663B (en) | A kind of underwater colour-image reinforcing method theoretical based on dark | |
Yu et al. | Underwater image enhancement based on DCP and depth transmission map | |
Sathya et al. | Underwater image enhancement by dark channel prior | |
Zhou et al. | Underwater image restoration based on secondary guided transmission map | |
Gong et al. | Research on the method of color compensation and underwater image restoration based on polarization characteristics | |
Barros et al. | Single-shot underwater image restoration: A visual quality-aware method based on light propagation model | |
Lu et al. | Single underwater image descattering and color correction | |
Ma et al. | A new database for evaluating underwater image processing methods | |
CN114037625A (en) | An Image Restoration Method Based on Physical Scattering Model | |
Deluxni et al. | A review on image enhancement and restoration techniques for underwater optical imaging applications | |
Li et al. | Underwater image enhancement utilizing adaptive color correction and model conversion for dehazing | |
Lu et al. | 3D underwater scene reconstruction through descattering and colour correction | |
CN110070480A (en) | A kind of analogy method of underwater optics image | |
Ghate et al. | New approach to underwater image dehazing using dark channel prior | |
CN116664448B (en) | A medium and high visibility calculation method and calculation system based on image dehazing | |
Deng et al. | State of the art of the underwater image processing methods | |
Stephan et al. | Model based image restoration for underwater images | |
Zou et al. | Self-tuning underwater image fusion method based on dark channel prior | |
Guodong et al. | Underwater image enhancement and detection based on convolutional DCP and YOLOv5 | |
Kavitha et al. | Underwater Image Enhancement using Fusion of CLAHE and Total Generalized Variation. | |
Bhadouria et al. | Effective framework for underwater image enhancement using multi-fusion technique | |
Jin et al. | Color balancing and dehazing algorithm for colored haze removal | |
Li et al. | Research on improved image recovery algorithm based on Dark-Channel and multi-scale Retinex theory |