[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Behzadpour et al., 2023 - Google Patents

Improving precision of objective image/video quality meters

Behzadpour et al., 2023

View HTML
Document ID
17399445015809429488
Author
Behzadpour M
Ghanbari M
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

Although subjective test is the most accurate image/video quality assessment tool, it is extremely time demanding. In the past two decades, a variety of objective quality measuring tools, such as SSIM, IW-SSIM, SPSIM, FSIM, etc., have been devised, that well correlate with …
Continue reading at link.springer.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0278—Product appraisal
    • 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
    • G06T2207/30168—Image quality 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
    • G06T2207/10—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
    • G06T2207/30—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
    • G06T1/00—General purpose image data processing
    • G06T1/0021—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
    • G06K9/36—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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • 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

Similar Documents

Publication Publication Date Title
Qureshi et al. Towards the design of a consistent image contrast enhancement evaluation measure
Liu et al. Image retargeting quality assessment
Gu et al. The analysis of image contrast: From quality assessment to automatic enhancement
Xiao et al. Gradient‐preserving color transfer
US8494283B2 (en) Image quality assessment
Castiglione et al. Experimentations with source camera identification and online social networks
Behzadpour et al. Improving precision of objective image/video quality meters
CN109325550A (en) Non-reference picture quality appraisement method based on image entropy
CN110782413B (en) Image processing method, device, equipment and storage medium
Fang et al. BNB method for no-reference image quality assessment
Chi et al. Blind tone mapped image quality assessment with image segmentation and visual perception
Si et al. Sand dust image visibility enhancement algorithm via fusion strategy
Nizami et al. Distortion-specific feature selection algorithm for universal blind image quality assessment
Bruno et al. A novel image dataset for source camera identification and image based recognition systems
Eerola et al. Study of no-reference image quality assessment algorithms on printed images
Li et al. A cascaded algorithm for image quality assessment and image denoising based on CNN for image security and authorization
Chen et al. Dual-feature aggregation network for no-reference image quality assessment
Wang et al. Blind photograph watermarking with robust defocus‐based JND model
Qu et al. A framework for identifying shifted double JPEG compression artifacts with application to non-intrusive digital image forensics
Zhang et al. A no-reference underwater image quality evaluator via quality-aware features
Mizdos et al. How to reuse existing annotated image quality datasets to enlarge available training data with new distortion types
Anitha et al. Quality assessment of resultant images after processing
Tolie et al. Blind quality assessment of screen content images via edge histogram descriptor and statistical moments
Khosravi et al. A new paradigm for image quality assessment based on human abstract layers of quality perception
Zhang et al. Quality assessment of image fusion based on image content and structural similarity