Fujifilm J20 Broschüre
Scene Recognition Auto
Face Detection with
Auto Red-Eye Removal
Lost photo opportunity
FinePix J20/J250
FinePix J20/J250
FinePix J20/J250 in SR AUTO
FinePix J20/J250 in SR AUTO
FinePix J20/J250 in SR AUTO
Conventional digital camera
in Auto mode
FinePix J20/J250 in SR AUTO
Conventional digital camera
in Auto mode
The FinePix J Series: Featuring SR AUTO & Face Detection
SR Auto recognizes
portraits, finding faces
quickly and then
focusing and optimizing
exposure to produce
perfect portraits with
bright, beautiful detail.
When SR Auto detects a
landscape, it automatically
optimizes for maximum
sharpness and depth of field.
From cityscapes to nature,
landscapes are captured in
beautiful, high-resolution color
and smooth tonality, just as
the human eye sees them.
For low-light and nighttime scenarios, SR Auto automatically
adjusts shutter speed and sensitivity, producing blur-free
pictures with minimal noise, even at high sensitivity.
When your subject is closer than normal, SR Auto automatically
adjusts the Fujinon lens optics and aperture for a shallow depth
of field, producing high-resolution close-ups with crisp clarity.
Portrait
Landscape
Macro
FinePix J20/J250 in SR AUTO
Conventional digital camera
in Auto mode
When photographing people against the sun or other
strong backlight, SR Auto automatically optimizes the
exposure and flash to ensure clear, evenly lit facial
features.
When photographing people at night or in low light, SR
Auto optimizes flash range, shutter speed and exposure
to give you attractive, properly exposed portraits.
Face Detection identifies faces in the frame and optimizes focus and exposure, making it
easy to take flattering portraits. Auto red-eye removal identifies and compensates for
red-eye in detected faces for foolproof flash-lit portraits and party pictures.
Face Detection
Auto Red-Eye Removal
01
02
Lost photo opportunity
FinePix J20/J250 in SR AUTO
Conventional digital camera
in Auto mode
Night
Night Portrait
Backlit Portrait
Simple
&
Stylish
Wide-Angle,
5x Zoom
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