Gao et al., 2021 - Google Patents
Sandstorm image enhancement based on YUV spaceGao et al., 2021
- Document ID
- 13674250112873684508
- Author
- Gao G
- Lai H
- Liu Y
- Wang L
- Jia Z
- Publication year
- Publication venue
- Optik
External Links
Snippet
Dust weather is increasingly frequent, seriously affecting the quality of outdoor surveillance video images. In dusty weather, due to the presence of a large amount of dust particles in the air, these particles selectively absorb and scatter light, resulting in blurred details of the …
- 239000000428 dust 0 abstract description 45
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
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- 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
- G06T5/007—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
- G06T5/001—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
- G06T2207/20048—Transform domain processing
-
- 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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré, halo, even if the automatic gain control is involved
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/20—Circuitry for controlling amplitude response
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gao et al. | Sandstorm image enhancement based on YUV space | |
CN107527332B (en) | Low-illumination image color retention enhancement method based on improved Retinex | |
CN107767354B (en) | Image defogging algorithm based on dark channel prior | |
Jung et al. | Low light image enhancement with dual-tree complex wavelet transform | |
Gao et al. | Sand-dust image restoration based on reversing the blue channel prior | |
CN104253930B (en) | A kind of real-time video defogging method | |
Shiau et al. | Weighted haze removal method with halo prevention | |
Ma et al. | An effective fusion defogging approach for single sea fog image | |
CN104867121B (en) | Image Quick demisting method based on dark primary priori and Retinex theories | |
CN110782407B (en) | Single image defogging method based on sky region probability segmentation | |
CN111429370A (en) | Method and system for enhancing images in coal mine and computer storage medium | |
Mu et al. | Low and non-uniform illumination color image enhancement using weighted guided image filtering | |
CN109118440B (en) | Single image defogging method based on transmissivity fusion and adaptive atmospheric light estimation | |
CN104318529A (en) | Method for processing low-illumination images shot in severe environment | |
Lei et al. | A novel intelligent underwater image enhancement method via color correction and contrast stretching✰ | |
Dar et al. | An enhanced adaptive histogram equalization based local contrast preserving technique for HDR images | |
CN108305225A (en) | Traffic monitoring image rapid defogging method based on dark channel prior | |
CN117252773A (en) | Image enhancement method and system based on self-adaptive color correction and guided filtering | |
Xue et al. | Video image dehazing algorithm based on multi-scale retinex with color restoration | |
CN111311503A (en) | Night low-brightness image enhancement system | |
CN106327450A (en) | Method for enhancing low-light video image based on space-time accumulation and image degradation model | |
CN114693548B (en) | Dark channel defogging method based on bright area detection | |
CN107203979B (en) | Low-illumination image enhancement method | |
CN114037641A (en) | Low-illumination image enhancement method, device, equipment and medium | |
Li et al. | Laplace dark channel attenuation-based single image defogging in ocean scenes |