[go: up one dir, main page]

Li et al., 2010 - Google Patents

Content-partitioned structural similarity index for image quality assessment

Li et al., 2010

Document ID
9567597298982702012
Author
Li C
Bovik A
Publication year
Publication venue
Signal Processing: Image Communication

External Links

Snippet

The assessment of image quality is important in numerous image processing applications. Two prominent examples, the Structural Similarity Image (SSIM) index and Multi-scale Structural Similarity (MS-SSIM) operate under the assumption that human visual perception …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/002Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions

Similar Documents

Publication Publication Date Title
Li et al. Content-partitioned structural similarity index for image quality assessment
Wang et al. Structural similarity based image quality assessment
Li et al. Three-component weighted structural similarity index
Larson et al. Most apparent distortion: full-reference image quality assessment and the role of strategy
Li et al. Content-weighted video quality assessment using a three-component image model
Ciancio et al. No-reference blur assessment of digital pictures based on multifeature classifiers
Choi et al. Referenceless prediction of perceptual fog density and perceptual image defogging
Narwaria et al. SVD-based quality metric for image and video using machine learning
Shen et al. Hybrid no-reference natural image quality assessment of noisy, blurry, JPEG2000, and JPEG images
US11310475B2 (en) Video quality determination system and method
Zhang et al. No-reference image quality assessment based on log-derivative statistics of natural scenes
Liu et al. Image retargeting quality assessment
Vu et al. ${\bf S} _ {3} $: a spectral and spatial measure of local perceived sharpness in natural images
Haghighat et al. A non-reference image fusion metric based on mutual information of image features
Ma et al. Objective quality assessment for color-to-gray image conversion
He et al. Objective image quality assessment: a survey
Guan et al. No-reference blur assessment based on edge modeling
Fei et al. Perceptual image quality assessment based on structural similarity and visual masking
WO2018058090A1 (en) Method for no-reference image quality assessment
US20140126808A1 (en) Recursive conditional means image denoising
Chetouani et al. A hybrid system for distortion classification and image quality evaluation
Kottayil et al. Blind quality estimation by disentangling perceptual and noisy features in high dynamic range images
Jin et al. FOVQA: Blind foveated video quality assessment
Silvestre-Blanes Structural similarity image quality reliability: Determining parameters and window size
Krasula et al. Objective evaluation of naturalness, contrast, and colorfulness of tone-mapped images