Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Signal Processing: Image Communication
Volume	99
DOIs	https://doi.org/10.1016/j.image.2021.116420
Publication status	Published - Nov 2021

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@article{146d7f7cf25048f196221e444d4aa361,

title = "Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising",

author = "Khowaja, \{Sunder Ali\}",

year = "2021",

month = nov,

doi = "10.1016/j.image.2021.116420",

language = "English",

volume = "99",

journal = "Signal Processing: Image Communication",

issn = "0923-5965",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising

AU - Khowaja, Sunder Ali

PY - 2021/11

Y1 - 2021/11

UR - http://dx.doi.org/10.1016/j.image.2021.116420

U2 - 10.1016/j.image.2021.116420

DO - 10.1016/j.image.2021.116420

M3 - Article

SN - 0923-5965

VL - 99

JO - Signal Processing: Image Communication

JF - Signal Processing: Image Communication

ER -