Eerola et al., 2010 - Google Patents
Full reference printed image quality: Measurement framework and statistical evaluationEerola et al., 2010
View PDF- Document ID
- 14802771090113381316
- Author
- Eerola T
- Lensu L
- Kalviainen H
- Kamarainen J
- Leisti T
- Nyman G
- Halonen R
- Oittinen P
- Publication year
- Publication venue
- Journal of Imaging Science and Technology
External Links
Snippet
Full reference image quality algorithms are standard tools in digital image processing but have not been utilized for printed images due to a “correspondence gap” between the digital domain (a reference) and physical domain (printed sample). In this work, the authors …
- 238000005259 measurement 0 title description 15
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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
-
- 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
- G06T5/002—Denoising; Smoothing
-
- 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
- G06T2207/30—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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/009—Global, i.e. based on properties of the image as a whole
-
- 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
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/40—Picture signal circuits
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10282801B2 (en) | Full-color visibility model using CSF which varies spatially with local luminance | |
Ciancio et al. | No-reference blur assessment of digital pictures based on multifeature classifiers | |
Tremeau et al. | Color in image and video processing: most recent trends and future research directions | |
US9401001B2 (en) | Full-color visibility model using CSF which varies spatially with local luminance | |
Chandler | Seven challenges in image quality assessment: past, present, and future research | |
Pedersen et al. | Survey of full-reference image quality metrics | |
Niu et al. | Image quality assessment for color correction based on color contrast similarity and color value difference | |
JP2004127064A (en) | Image processing method, image processor, image processing program and image recording device | |
Priyanka et al. | Low-light image enhancement by principal component analysis | |
Rahman et al. | Efficient contrast adjustment and fusion method for underexposed images in industrial cyber-physical systems | |
Burningham et al. | Image quality metrics | |
Eerola et al. | Full reference printed image quality: Measurement framework and statistical evaluation | |
Wang et al. | A new method estimating linear gaussian filter kernel by image PRNU noise | |
Ciocca et al. | How to assess image quality within a workflow chain: an overview | |
Perry | Image and video noise: an industry perspective | |
Mahmood et al. | Enhanced visualization of hyperspectral images | |
Ko et al. | Color embedding and recovery based on wavelet packet transform | |
Pedersen et al. | Framework for the evaluation of color prints using image quality metrics | |
Ajagamelle et al. | Analysis of the difference of gaussians model in image difference metrics | |
Ancuti et al. | Decolorization by fusion | |
You et al. | Perceptually consistent color-to-gray image conversion | |
Kadyrova et al. | Image enhancement dataset for evaluation of image quality metrics | |
Lorch et al. | Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implications | |
Cyriac et al. | A nonlocal variational formulation for the improvement of tone mapped images | |
Hu | Image quality evaluation in print and compressed images |