Xavier et al., 2016 - Google Patents
Visibility Restoration Algorithm using Bilateral FilteringXavier et al., 2016
View PDF- Document ID
- 3978996430097449558
- Author
- Xavier S
- Reshmi R
- Publication year
- Publication venue
- International Journal of Computer Applications
External Links
Snippet
The visibility restoration of images is effected by various kinds of weather conditions like fog, mist, sandstorm, rain etc. This poor visibility will cause failure in the image processing applications like video surveillance, object detection, object recognition, intelligent …
- 230000002146 bilateral 0 title abstract description 23
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
- 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
- G06T2207/20—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
- 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
- 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
- G06T5/002—Denoising; Smoothing
-
- 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
-
- 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
-
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- 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
- 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
- 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
- G06T7/00—Image analysis
-
- 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
- G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
-
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Haze and thin cloud removal via sphere model improved dark channel prior | |
Liang et al. | Single underwater image enhancement by attenuation map guided color correction and detail preserved dehazing | |
Huang et al. | An efficient visibility enhancement algorithm for road scenes captured by intelligent transportation systems | |
Shin et al. | Radiance–reflectance combined optimization and structure-guided $\ell _0 $-Norm for single image dehazing | |
Wang et al. | Fast image dehazing method based on linear transformation | |
Hu et al. | An adaptive fusion algorithm for visible and infrared videos based on entropy and the cumulative distribution of gray levels | |
Gao et al. | Sand-dust image restoration based on reversing the blue channel prior | |
TWI808406B (en) | Image dehazing method and image dehazing apparatus using the same | |
Fan et al. | Multiscale cross-connected dehazing network with scene depth fusion | |
Li et al. | Low illumination video image enhancement | |
CN105898111A (en) | Video defogging method based on spectral clustering | |
CN108462866A (en) | A kind of 3D stereo-picture color calibration methods based on matching and optimization | |
Jeon et al. | Low-light image enhancement using inverted image normalized by atmospheric light | |
Ueki et al. | Underwater image enhancement based on the iteration of a generalization of dark channel prior | |
Gupta et al. | Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient | |
Zhang et al. | Nighttime haze removal with illumination correction | |
Hong et al. | Single image dehazing based on pixel-wise transmission estimation with estimated radiance patches | |
Sun et al. | Fast single image dehazing using iterative bilateral filter | |
BV et al. | Image De-hazing techniques for Vision based applications-A survey | |
Al-Zubaidy et al. | Removal of atmospheric particles in poor visibility outdoor images | |
Zhang et al. | Dehazing with improved heterogeneous atmosphere light estimation and a nonlinear color attenuation prior model | |
Kim et al. | Single image dehazing of road scenes using spatially adaptive atmospheric point spread function | |
Menon et al. | An enhanced digital image processing based dehazing techniques for haze removal | |
CN115937021A (en) | Polarization defogging method based on frequency domain feature separation and iterative optimization of atmospheric light | |
Xavier et al. | Visibility Restoration Algorithm using Bilateral Filtering |