26/09/2022
Ahmad Firas Bin Ahmad Fisal (0345121)
Digital Photography & Imaging | Bachelor of Design (Hons) in Creative Media | Taylor's University
Week 05 - Project 2B: Digital Imaging (Double Exposure)
LECTURE
Sir Fauzi taught us the meaning and concept of Double Exposure and how to
achieve those outcomes by using Adobe Photoshop. He further explained the
blending mode such as multiply, darken, overlay, soft light, etc. These are
parts of the component that make it possible for us to turn something with
this double exposure effect.
TUTORIAL
We were provided with a video tutorial to follow through to achieve this
double exposure-looking imaging. The image below is showing the original
photo before the process of use using the appropriate tools such as the
Object Selection tool and masking it later to separate the background from
the foreground.
After successfully masking it and adjusting the contrast and levelled the
portrait to make it look better and brighter. Clipping masks the other
provided images such as the forest, the clouds and the birds to be used to
create our double exposure work as part of the Digital Imaging
exercises.
We are to duplicate the layers and clip them to ensure that we only leave
the face part of the whole portrait while others are manipulated with the
other images mentioned above. Using the appropriate blending modes also will
help you achieve this surreal-looking imaging.
In the tutorial video, we were taught how to make use of the Gradient Map
function to ultimately change the whole colour palette according to our
liking. Sourcing them from Adobe Stock is also an option if the provided
ones do not suit our tastes.
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| Figure 5.4 - Gradient Mapping |
Final Outcome:
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| Figure 5.5 - Final Outcome (Tutorial - Demo) |
PRACTICAL
Following the same steps as we've learned in the video tutorial, picking a
self-portrait image of ourselves and manipulating it with other images to
achieve this double exposure is the assignment that we are finally required
to complete.
Final Outcome:
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| Figure 5.8 - Final Outcome (Project 2B) |




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