Chaudhari et al., 2021 - Google Patents

Merging-ISP: Multi-exposure high dynamic range image signal processing

Chaudhari et al., 2021

View PDF
Document ID
771023732694039369
Author
Chaudhari P
Schirrmacher F
Maier A
Riess C
Köhler T
Publication year
Publication venue
DAGM German Conference on Pattern Recognition

External Links

Snippet

High dynamic range (HDR) imaging combines multiple images with different exposure times into a single high-quality image. The image signal processing pipeline (ISP) is a core component in digital cameras to perform these operations. It includes demosaicing of raw …
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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/232—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles
    • H04N5/23229—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles comprising further processing of the captured image without influencing the image pickup process
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • 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
    • G06T5/50—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of more than one image, e.g. averaging, subtraction
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/30—Transforming light or analogous information into electric information
    • H04N5/335—Transforming light or analogous information into electric information using solid-state image sensors [SSIS]
    • 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
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • 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

Similar Documents

Publication Publication Date Title
Wang et al. Deep learning for hdr imaging: State-of-the-art and future trends
Xu et al. Learning to restore low-light images via decomposition-and-enhancement
Su et al. Deep video deblurring for hand-held cameras
Prabhakar et al. Towards practical and efficient high-resolution HDR deghosting with CNN
US10708525B2 (en) Systems and methods for processing low light images
Khashabi et al. Joint demosaicing and denoising via learned nonparametric random fields
Afifi et al. Cie xyz net: Unprocessing images for low-level computer vision tasks
Valsesia et al. Permutation invariance and uncertainty in multitemporal image super-resolution
Chaudhari et al. Merging-ISP: Multi-exposure high dynamic range image signal processing
Zeng et al. Robust reconstruction with deep learning to handle model mismatch in lensless imaging
Pang et al. FAN: Frequency aggregation network for real image super-resolution
Lu et al. Progressive joint low-light enhancement and noise removal for raw images
Zhou et al. Deblurring low-light images with events
Choi et al. Reconstructing interlaced high-dynamic-range video using joint learning
Lecouat et al. High dynamic range and super-resolution from raw image bursts
Zhao et al. D2hnet: Joint denoising and deblurring with hierarchical network for robust night image restoration
Karađuzović-Hadžiabdić et al. Assessment of multi-exposure HDR image deghosting methods
Yue et al. Real-rawvsr: Real-world raw video super-resolution with a benchmark dataset
Yoshimura et al. Rawgment: Noise-accounted raw augmentation enables recognition in a wide variety of environments
Alghamdi et al. Reconfigurable snapshot HDR imaging using coded masks and inception network
Shen et al. Spatial temporal video enhancement using alternating exposures
Rego et al. Deep camera obscura: an image restoration pipeline for pinhole photography
Alghamdi et al. Transfer deep learning for reconfigurable snapshot HDR imaging using coded masks
Li et al. SJ-HD^ 2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes
Aakerberg et al. RELIEF: Joint Low-Light Image Enhancement and Super-Resolution with Transformers