This years entries were awesome. So many great and varied images. To shortlist them was a difficult task and not one that was taken lightly. Photography is subjective so I was looking for images that caught my attention and told a great story. Among the shortlist is a great mix of people; men and women of all ages, a few professionals but mostly amateurs - using DSLRs, drones, mirrorless cameras and smart phones. Thanks for entering ( I honestly enjoyed receiving every image!) and congratulations to the winners.
Photography covers such a broad brush of creativity. Limiting it to a competition is hard on any photographer and I have to say hard also on judging. So many great images! Well done to all of those that entered, as part of the challenge of photography is to use your images. I love photographs that grab my attention, making me stop and take a closer look as to what makes up the image and the story it is trying to tell. Finally, I will look at the technical aspects of the image. I can not recommend highly enough that you do something with your images and if your first attempt does not work, try again. This could be a book with Momento through to next years Snap Happy competition. You have nothing to lose.
Tim Robinson
Snap Happy Producer / Competition Judge
"Simple lines, patterns and a story with one person at a window is the foundation to this winning image. The photographer has worked to see the opportunity and then worked to shoot and process for a result that tells different stories to each viewer. At a guess, it shows that the photographer has a camera ready at most times."
- Darran Leal
2nd Place
Margot Hughes'Life Line'
"A very topical image of the current situation for many farming family’s in Australia currently. The use of a drone offers a unique perspective. Timing and location where very well worked around simple processing to help tell the story."
- Darran Leal
3rd Place
Richard Misquitta'Monster Surf'
"What a dramatic image capture. The right moment and timing is then enhanced with very good B&W processing. Picking the right image to convert to B&W is a challenge."
- Darran Leal
Highly Commended
(in no particular order)
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