Canon 8410B001 Digital Camera User Manual


 
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Cover
Before Use
Common Camera
Operations
Advanced Guide
Camera Basics
Auto Mode
Other Shooting
Modes
P Mode
Playback Mode
Setting Menu
Accessories
Appendix
Index
Basic Guide
Tv, Av, and M
Mode
Still Images
Correcting Image Brightness (i-Contrast)
Excessively dark image areas (such as faces or backgrounds) can be
detectedandautomaticallyadjustedtotheoptimalbrightness.Insufcient
overall image contrast is also automatically corrected, to make subjects
stand out better. Choose from four correction levels, and then save the
imageasaseparatele.
1 Choose [i-Contrast].
Press the <n> button, and then
choose [i-Contrast] on the [1] tab
(=
24).
2 Choose an image.
Press the <q><r> buttons or turn the
<5> dial to choose an image, and then
press the <m> button.
3 Choose an option.
Press the <q><r> buttons or turn the
<5> dial to choose an option, and then
press the <m> button.
4 Save as a new image and
review.
Follow steps 4 – 5 in “Resizing Images”
(=
82).
•For some images, correction may be inaccurate or may cause
images to appear grainy.
•Images may look grainy after repeated editing using this function.
• If [Auto] does not produce the expected results, try correcting images using
[Low], [Medium], or [High].
Still Images
Correcting Red-Eye
Automatically corrects images affected by red-eye. You can save the
correctedimageasaseparatele.
1 Choose [Red-Eye Correction].
Press the <n> button, and then
choose [Red-Eye Correction] on the [1]
tab (=
24).
2 Choose an image.
Press the <q><r> buttons or turn the
<5> dial to choose an image.
3 Correct the image.
Press the <m> button.
Red-eye detected by the camera is now
corrected, and frames are displayed
around corrected image areas.
Enlarge or reduce images as needed.
Follow the steps in “Magnifying Images”
(=
73).
4
Save as a new image and review.
Press the <o><p><q><r> buttons or
turn the <5> dial to choose [New File],
and then press the <m> button.
Theimageisnowsavedasanewle.
Follow step 5 in “Resizing Images” (
=
82
).