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BSRAW: Improving Blind RAW Image Super-Resolution

BSRAW: Improving Blind RAW Image Super-Resolution

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2906659516

BSRAW: Improving Blind RAW Image Super-Resolution

About this item

Full title

BSRAW: Improving Blind RAW Image Super-Resolution

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In smartphones and compact cameras, the Image Signal Processor (ISP) transforms the RAW sensor image into a human-readable sRGB image. Most popular super-resolution methods depart from a sRGB image and upscale it further, improving its quality. However, modeling the degradations in the sRGB domain is complicated because of the non-linear ISP transf...

Alternative Titles

Full title

BSRAW: Improving Blind RAW Image Super-Resolution

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2906659516

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2906659516

Other Identifiers

E-ISSN

2331-8422

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