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Digital imaging / Imaging / Computer graphics / Noise / Defective pixel / Image noise / Dark-frame subtraction / Pixel / Noise reduction / Digital photography / Image processing / Photography


Determining Approximate Age of Digital Images Using Sensor Defects ∗ Jessica Fridrich
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Document Date: 2010-12-20 13:45:36

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File Size: 329,59 KB

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City

Washington / DC / River / New York / /

Company

Canon / John Wiley & Sons Inc. / JCD Publishing & SPIE Press / VLSI Systems / Complementary Metal-Oxide Semiconductor / /

Country

United States / /

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Event

Product Issues / /

Facility

Prentice Hall / State University / Binghamton University / /

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IndustryTerm

element-wise product / electronic device / digital imaging sensors / manufacturing process / camera storage device / /

MarketIndex

set 150 / /

Movie

From now on / /

Organization

National Science Foundation / Binghamton University / Miroslav Goljan Department of Electrical and Computer Engineering / IEEE Computer Society / Pattern Analysis and Machine Intelligence / State University of New York / /

Person

Gaurav Sharma / Identi / Fig / Jessica Fridrich / Miroslav Goljan / Considering / Pixel / /

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Position

model / forensic analyst / Laplacian noise model for Ξ / photographer / analyst / /

Product

pixels / 9 / pixels D0 / sensor dust / pixel locations / pixels ˆj / pixels The rst issue / sensor dust.2 Not / pixels location / pixels / so-called Kc model / pixel / /

ProgrammingLanguage

DC / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

radiation / digital imaging / digital video / Image Processing / /

SocialTag