Wang et al., 2018 - Google Patents
End-to-end exposure fusion using convolutional neural networkWang et al., 2018
View PDF- Document ID
- 11257972511936890163
- Author
- Wang J
- Wang W
- Xu G
- Liu H
- Publication year
- Publication venue
- IEICE TRANSACTIONS on Information and Systems
External Links
Snippet
In this paper, we describe the direct learning of an end-to-end mapping between under-/over- exposed images and well-exposed images. The mapping is represented as a deep convolutional neural network (CNN) that takes multiple-exposure images as input and …
- 230000004927 fusion 0 title abstract description 28
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
- 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
- G06T2207/20172—Image enhancement 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
- G06T5/002—Denoising; Smoothing
-
- 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
- G06T5/005—Retouching; Inpainting; Scratch removal
-
- 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
- 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
- G06T5/003—Deblurring; Sharpening
-
- 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
- G06T2207/30004—Biomedical 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
- G06T5/009—Global, i.e. based on properties of the image as a whole
-
- 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
- G06T2207/20212—Image combination
-
- 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
- G06T5/40—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of histogram techniques
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
-
- 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
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- 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
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | An underwater image enhancement benchmark dataset and beyond | |
| CN115223004B (en) | Method for generating image enhancement of countermeasure network based on improved multi-scale fusion | |
| Lee et al. | Deep chain hdri: Reconstructing a high dynamic range image from a single low dynamic range image | |
| Wang et al. | End-to-end exposure fusion using convolutional neural network | |
| Huang et al. | Shallow-water image enhancement using relative global histogram stretching based on adaptive parameter acquisition | |
| Rahman et al. | Efficient image enhancement model for correcting uneven illumination images | |
| Bianco et al. | A new color correction method for underwater imaging | |
| CN108492262B (en) | No-ghost high-dynamic-range imaging method based on gradient structure similarity | |
| CN105894484B (en) | A HDR reconstruction algorithm based on histogram normalization and superpixel segmentation | |
| Vonikakis et al. | Multi-exposure image fusion based on illumination estimation | |
| CN112734650A (en) | Virtual multi-exposure fusion based uneven illumination image enhancement method | |
| Xu et al. | Deep retinex decomposition network for underwater image enhancement | |
| CN115661012B (en) | A multi-exposure image fusion system based on global-local aggregation learning | |
| CN114998141B (en) | Space environment high dynamic range imaging method based on multi-branch network | |
| Tang et al. | A local flatness based variational approach to retinex | |
| Lisani et al. | An inquiry on contrast enhancement methods for satellite images | |
| Shutova et al. | NTIRE 2023 challenge on night photography rendering | |
| Gao et al. | High dynamic range infrared image acquisition based on an improved multi-exposure fusion algorithm | |
| Ma et al. | Joint over and under exposures correction by aggregated retinex propagation for image enhancement | |
| Singh et al. | Weighted least squares based detail enhanced exposure fusion | |
| Matin et al. | Retinex-based image enhancement with particle swarm optimization and multi-objective function | |
| Yan et al. | A natural-based fusion strategy for underwater image enhancement | |
| Zhang et al. | Joint Luminance Adjustment and Color Correction for Low-Light Image Enhancement Network. | |
| Bemana et al. | Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising | |
| CN113096033A (en) | Low-illumination image enhancement method based on Retinex model self-adaptive structure |