Dong et al., 2019 - Google Patents
Infrared image colorization using an edge aware auto encoder decoder with the multi-resolution fusionDong et al., 2019
- Document ID
- 5908664189115608638
- Author
- Dong Z
- Qu W
- Publication year
- Publication venue
- 2019 Chinese Automation Congress (CAC)
External Links
Snippet
This paper propoes a novel method for near infrared (NIR) image colorization. The proposed method have two parts. In the first part, the RGB output is generated by the edge aware auto encoder decoder, which includes symmetrical jump connections for precise positioning and …
- 230000004927 fusion 0 title abstract description 20
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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/50—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of more than one image, e.g. averaging, subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Nighttime haze removal based on a new imaging model | |
| Chen et al. | LENFusion: A joint low-light enhancement and fusion network for nighttime infrared and visible image fusion | |
| Zheng et al. | Low-light image and video enhancement: A comprehensive survey and beyond | |
| Vanmali et al. | Visible and NIR image fusion using weight-map-guided Laplacian–Gaussian pyramid for improving scene visibility | |
| Toet et al. | Merging thermal and visual images by a contrast pyramid | |
| He et al. | Haze removal using the difference-structure-preservation prior | |
| Zhang et al. | EV-fusion: A novel infrared and low-light color visible image fusion network integrating unsupervised visible image enhancement | |
| Paul et al. | Application of HDR algorithms to solve direct sunlight problems when autonomous vehicles using machine vision systems are driving into sun | |
| DE112017007579T5 (en) | Process and system for automatic coloring of night vision images | |
| CN110378845A (en) | A kind of image repair method under extreme condition based on convolutional neural networks | |
| Shankar et al. | A novel approach for gray scale image colorization using convolutional neural networks | |
| US20230186446A1 (en) | Image processing methods and systems for low-light image enhancement using machine learning models | |
| US20230186612A1 (en) | Image processing methods and systems for generating a training dataset for low-light image enhancement using machine learning models | |
| Oliveira et al. | Unsupervised local color correction for coarsely registered images | |
| CN107705254A (en) | A kind of urban environment appraisal procedure based on streetscape figure | |
| Lou et al. | Integrating haze density features for fast nighttime image dehazing | |
| Zhang et al. | Preprocessing and fusion analysis of GF-2 satellite Remote-sensed spatial data | |
| CN117196980A (en) | Low-light image enhancement method based on illumination and scene texture attention map | |
| CN118334481A (en) | Infrared and low-light visible light image fusion method, storage medium, and electronic device | |
| Dong et al. | Infrared image colorization using an edge aware auto encoder decoder with the multi-resolution fusion | |
| Zhang et al. | Nighttime haze removal with illumination correction | |
| Miao et al. | A dual branch network combining detail information and color feature for remote sensing image dehazing | |
| Ilie et al. | Gradient domain context enhancement for fixed cameras | |
| Lai et al. | Single image dehazing with optimal transmission map | |
| Tao et al. | Intelligent colorization for thermal infrared image based on CNN |