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

Liu, 2021 - Google Patents

A review for tone-mapping operators on wide dynamic range image

Liu, 2021

View PDF
Document ID
7126972818859777723
Author
Liu Z
Publication year
Publication venue
arXiv preprint arXiv:2101.03003

External Links

Snippet

The dynamic range of our normal life can exceeds 120 dB, however, the smart-phone cameras and the conventional digital cameras can only capture a dynamic range of 90 dB, which sometimes leads to loss of details for the recorded image. Now, some professional …
Continue reading at arxiv.org (PDF) (other versions)

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
    • 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
    • G06T5/007—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
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/001—Texturing; Colouring; Generation of texture or colour
    • 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
    • G06T3/40—Scaling the whole image or part thereof
    • 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
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/50—Lighting effects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • 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
    • G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T13/00—Animation

Similar Documents

Publication Publication Date Title
Rudnev et al. Nerf for outdoor scene relighting
Fan et al. Integrating semantic segmentation and retinex model for low-light image enhancement
Rana et al. Deep tone mapping operator for high dynamic range images
Zhao et al. Pixelated semantic colorization
Rao et al. A Survey of Video Enhancement Techniques.
US20230080693A1 (en) Image processing method, electronic device and readable storage medium
Panetta et al. Tmo-net: A parameter-free tone mapping operator using generative adversarial network, and performance benchmarking on large scale hdr dataset
Anvari et al. Dehaze-GLCGAN: unpaired single image de-hazing via adversarial training
Patel et al. A generative adversarial network for tone mapping hdr images
Yee et al. Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images
Zhang et al. A real-time semi-supervised deep tone mapping network
Lv et al. Low-light image enhancement via deep Retinex decomposition and bilateral learning
Wang et al. Joint framework for single image reconstruction and super-resolution with an event camera
Yao et al. Bidirectional translation between uhd-hdr and hd-sdr videos
Guo et al. Deep tone-mapping operator using image quality assessment inspired semi-supervised learning
CN114449181B (en) Image and video processing method and system, data processing device and medium
Kim et al. A multi-purpose convolutional neural network for simultaneous super-resolution and high dynamic range image reconstruction
Wang et al. Single Underwater Image Enhancement Based on $ L_ {P} $-Norm Decomposition
Fu et al. Low-light image enhancement base on brightness attention mechanism generative adversarial networks
US20220398704A1 (en) Intelligent Portrait Photography Enhancement System
Liu Two decades of colorization and decolorization for images and videos
Zeng et al. SR-ITM-GAN: Learning 4K UHD HDR with a generative adversarial network
Zhang et al. Multi-scale-based joint super-resolution and inverse tone-mapping with data synthesis for UHD HDR video
CN112927160B (en) Single low-light image enhancement method based on depth Retinex
Jang et al. Inverse tone mapping operator using sequential deep neural networks based on the human visual system