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Ma et al., 2015 - Google Patents

Handling motion blur in multi-frame super-resolution

Ma et al., 2015

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Document ID
2006317064799737207
Author
Ma Z
Liao R
Tao X
Xu L
Jia J
Wu E
Publication year
Publication venue
Proceedings of the IEEE conference on computer vision and pattern recognition

External Links

Snippet

Ubiquitous motion blur easily fails multi-frame super-resolution (MFSR). Our method proposed in this paper tackles this issue by optimally searching least blurred pixels in MFSR. An EM framework is proposed to guide residual blur estimation and high-resolution …
Continue reading at www.cv-foundation.org (PDF) (other versions)

Classifications

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    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06T5/003—Deblurring; Sharpening
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    • 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
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    • 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
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