[go: up one dir, main page]

Yue et al., 2019 - Google Patents

Blind quality assessment for screen content images via convolutional neural network

Yue et al., 2019

Document ID
16991445568335216120
Author
Yue G
Hou C
Yan W
Choi L
Zhou T
Hou Y
Publication year
Publication venue
Digital Signal Processing

External Links

Snippet

With the wide propagation of cloud and mobile computing, screen content images (SCIs) have become more indispensable in our daily lives. Compared to natural scene images (NSIs), SCIs possess many particular characteristics, like mixed contents, extremely sharp …
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
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • 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
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • G06T2200/24Indexing scheme for image data processing or generation, in general involving graphical user interfaces [GUIs]

Similar Documents

Publication Publication Date Title
Yue et al. Blind quality assessment for screen content images via convolutional neural network
CN111709902B (en) Infrared and visible light image fusion method based on self-attention mechanism
US7187811B2 (en) Method for image resolution enhancement
US7545985B2 (en) Method and system for learning-based quality assessment of images
Fezza et al. Perceptual evaluation of adversarial attacks for CNN-based image classification
CN102169576B (en) Quantified evaluation method of image mosaic algorithms
Fu et al. Twice mixing: A rank learning based quality assessment approach for underwater image enhancement
Siahaan et al. Semantic-aware blind image quality assessment
Lecca et al. GRASS: a gradient-based random sampling scheme for Milano Retinex
Krasula et al. Preference of experience in image tone-mapping: Dataset and framework for objective measures comparison
Lv et al. Blind dehazed image quality assessment: A deep CNN-based approach
Yang et al. EHNQ: Subjective and objective quality evaluation of enhanced night-time images
Zhang et al. A color image contrast enhancement method based on improved PSO
Fang et al. Non-linear and selective fusion of cross-modal images
Chai et al. MS-PCQE: Efficient NR-PCQE via Multi-Scale Interaction Module in Immersive Communications
An et al. FastUNet: Fast hierarchical multi-patch underwater enhancement network for industrial recirculating aquaculture
Yan et al. Max360IQ: Blind omnidirectional image quality assessment with multi-axis attention
US8311358B2 (en) Method and system for image extraction and identification
Tang et al. Feature comparison and analysis for new challenging research fields of image quality assessment
Chen et al. Saliency detection via topological feature modulated deep learning
Yuan et al. RM-IQA: A new no-reference image quality assessment framework based on range mapping method
Xu et al. Blind image quality assessment by pairwise ranking image series
Ventura et al. From Video Conferences to DSLRs: An In-depth Texture Evaluation with Realistic Mannequins
Zhang et al. Underwater video consistent enhancement: a real-world dataset and solution with progressive quality learning
CN119625652B (en) Visual interaction method, device and equipment of LED display screen and storage medium