Friday, September 12, 2014

Ian Watson Recipe 1: B&W Mystery

POW Recipe

Phone: LG G2
Model number: VS980 4G (Verizon)
OS: Android 4.4.2 (KitKat)
Captured in: Default Camera app
Edited in: VSCO cam, Instagram

The main technique I focused on when shooting the original image (which I have attached below this paragraph) was shooting directly into the harsh sunset. When I saw this scene, I was not ready to take the image at all, and rushed my phone out of my pocket to take the shot. I made sure that the angle I was shooting at let me capture a bit of the subject and the entirety of their shadow without including too many other outside details in the piece. To help with this, I also shot it vertically with intent to crop later, as I know that a horizontal shot would also be harder to shoot (I could barely see my screen due to the harsh light), as well as potentially including so many details that the phone's automatic ISO would adjust in such a way to compensate for all the light. Honestly, when I took it originally, I did not know if I would even submit it for the critique.


A day or so later, after editing other images I had taken specifically for the crit, I brought this picture into VSCO cam, to see if I could make something cool from it. From there, I selected filter B5/BW Moody (the deep, dark, rich toned black and white filter). I left it on +12 (the full filter effect), and then dropped the Exposure from 0 to -1. From there, I exported it to Instagram.

(I will have to upload this once my phone syncs with my online album, because I've tried for half an hour and gotten nowhere. I hate technology)

In Instagram, I cropped the image down to a nice square size, as to get rid of all the extra space when I first took the image. I did not add a filter, but I did click on the little sun icon (which I guess is exposure, but it does not work anything like exposure would on other programs) and clicked it up to 100 to make the image even more contrasty. I also straightened it so that the horizon line was a straight line across the screen. This resulted in the image 

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