graphic design - music - photography


The posts are based on researches, the lecturer's materials, and my opinions.
Sorry if I made any kind of mistakes.

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Monday, 27 October 2014

Colour Correction, Colouring B/W Photo, and CD Cover

Friday, October 17th 2014

ADOBE BRIDGE

Do you know that you can access your files on Adobe Bridge? Definitely you can! In Adobe Bridge you can see the detail of your files. For example for photo, you can see the ISO, file name, file type, etc. Try yours! ;)

So, I want to open my file for the exercises.


See! You can see the detail of your photo on the Metadata
 COLOUR CORRECTION
So I opened this file. When you double click on Adobe Bridge, it will automatically open the Adobe Photoshop. Because the file type is RAW, it will appear like this on Photoshop.

When the graph is look like the letter u or n, it means that you have a good photo lighting :)

I tried to adjust the light







The comparison:
Before 
After


Adjusting the hue

Before adjusting the saturation
After adjusting the saturation 
Before adjusting the luminance 
After adjusting the luminance
Before 
After



This picture is a JPG file so when you double click on Bridge, it will appear like this. THE PROBLEM of this picture is there are too much green colour used and makes it less-natural. To solve this problem, click Colour Balance on Adjustments box!

Adjusting the midtones 

Adjusting the shadows 

Experiment with the Brightness/Contrast. If you make the image brighter, it looks less-contrast. 
Experiment with the Brightness/Contrast. If you make the image brighter, it looks less-contrast.
Before 
After


COLOURING B/W PHOTO 
Click Edit in Quick Mask Mode

Select the part that you want to add a colour.

When it's done, click the first button again and it will select the part that you chose. 

Make the Alpha Selection to keep the selection saved.

Click that button, and chose the Solid Color 
Give a colour.


Repeat the same step to another part of the image.







Before

After

Re-colour



CD COVER



Select the image by clipping mask






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