Lawgaly et al., 2013 - Google Patents
Image sharpening for efficient source camera identification based on sensor pattern noise estimationLawgaly et al., 2013
- Document ID
- 3969592337434977282
- Author
- Lawgaly A
- Khelifi F
- Bouridane A
- Publication year
- Publication venue
- 2013 Fourth International Conference on Emerging Security Technologies
External Links
Snippet
Sensor pattern noise (SPN) has been widely used for image authentication and camera source identification. Its abundance in terms of the information that it carries along a wide frequency range allows for reliable identification in the presence of many imaging sensors …
- 238000003707 image sharpening 0 title description 8
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
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
-
- 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
- G06T2207/10024—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
- 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
- G06T2207/10032—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
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
-
- 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
- G06T2207/30108—Industrial image inspection
-
- 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
- G06T2201/00—General purpose image data processing
- G06T2201/005—Image watermarking
-
- 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
-
- 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
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kang et al. | Enhancing source camera identification performance with a camera reference phase sensor pattern noise | |
Lin et al. | Preprocessing reference sensor pattern noise via spectrum equalization | |
Lawgaly et al. | Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification | |
Lawgaly et al. | Image sharpening for efficient source camera identification based on sensor pattern noise estimation | |
Luo et al. | A survey of passive technology for digital image forensics | |
Wu et al. | A context adaptive predictor of sensor pattern noise for camera source identification | |
CN107067389B (en) | A kind of blind evidence collecting method of distorted image | |
Mushtaq et al. | Digital image forgeries and passive image authentication techniques: a survey | |
CN102819831B (en) | Camera source evidence obtaining method based on mode noise big component | |
Chierchia et al. | On the influence of denoising in PRNU based forgery detection | |
Lawgaly et al. | Weighted averaging-based sensor pattern noise estimation for source camera identification | |
Lin et al. | Enhancing sensor pattern noise via filtering distortion removal | |
Gisolf et al. | Improving source camera identification using a simplified total variation based noise removal algorithm | |
CN109658447B (en) | Night image defogging method based on edge detail preservation | |
Yang et al. | A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations | |
Gupta et al. | Improving source camera identification performance using DCT based image frequency components dependent sensor pattern noise extraction method | |
CN103593645A (en) | Method for identifying source camera of cutout image | |
Zeng et al. | Removing camera fingerprint to disguise photograph source | |
CN112541853B (en) | Data processing method, device and equipment | |
CN106851140B (en) | A method of digital photo image source identification using spatial smoothing filter | |
Han et al. | Automatic illumination and color compensation using mean shift and sigma filter | |
Mehrish et al. | Sensor pattern noise estimation using probabilistically estimated RAW values | |
Balamurugan et al. | Source camera identification using SPN with PRNU estimation and enhancement | |
CN107451990B (en) | A Method for Photo Image Tampering Detection Using Nonlinear Guided Filtering | |
Rabah et al. | Semi-blind source scanner identification |