Singh et al., 2014 - Google Patents
Haze removal in color images using hybrid dark channel prior and bilateral filterSingh et al., 2014
View PDF- Document ID
- 6812570603231963471
- Author
- Singh Y
- Goyal E
- Publication year
- Publication venue
- Int. J. Recent Innov. Trends Comput. Commun
External Links
Snippet
Abstrtract:-Haze formation is the combination of airlight and attenuation. Attenuation decreases the contrast and airlight increases the whiteness in the scene. Atmospheric conditions created by floting particles such as fog and haze, severely degrade image quality …
- 230000002146 bilateral 0 title abstract description 14
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
- G06T2207/20—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
- 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
- G06T2207/10016—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
- G06T2207/20048—Transform domain 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
- G06T5/001—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
-
- 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
- H04N5/222—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
-
- 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
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tripathi et al. | Single image fog removal using bilateral filter | |
CN106846263B (en) | Based on the image defogging method for merging channel and sky being immunized | |
US9197789B2 (en) | Method and system for removal of fog, mist, or haze from images and videos | |
CN108564597B (en) | Video foreground object extraction method fusing Gaussian mixture model and H-S optical flow method | |
Xu et al. | Single image haze removal using light and dark channel prior | |
Tan et al. | Fast single-image defogging | |
KR20140140163A (en) | Appatatus for image dehazing using the user controllable radical root operation | |
Yadav et al. | Fog removal techniques from images: A comparative review and future directions | |
John et al. | Enhancement of weather degraded video sequences using wavelet fusion | |
Khan et al. | Recent advancement in haze removal approaches | |
Dai et al. | Adaptive sky detection and preservation in dehazing algorithm | |
Guo et al. | Automatic image haze removal based on luminance component | |
Gadnayak et al. | A survey on image dehazing methods | |
Yang et al. | A novel single image dehazing method | |
Singh et al. | Haze removal in color images using hybrid dark channel prior and bilateral filter | |
Chen et al. | An enhanced window-variant dark channel prior for depth estimation using single foggy image | |
Toka et al. | A fast method of fog and haze removal | |
Aswathy et al. | Review on Haze removal methods | |
Kansal et al. | Effect of non uniform illumination compensation on dehazing/de-fogging techniques | |
Sharma et al. | A Review on Haze Removal Methods in Image and Video for Object Detection and Tracking | |
Sharma et al. | 7 A Review on Haze | |
Ancuti et al. | Single image restoration of outdoor scenes | |
Zhang et al. | Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model | |
Guo et al. | Single image haze removal using dark channel prior and adaptive transmission rate | |
Park et al. | Variational image dehazing using a fuzzy membership function |