It really needs nerves to capture a wedding event without a DSLR but photographer Sephi Bergerson took the bold step and captured an enitre Indian wedding with his iPhone 6s Plus. Sephi Bergerson always wanted to shoot a wedding event with his phone but no one allowed him to do so untill he meet the courageous couple Ayushi and Abhishek whom allowed Sephi Bergerson to capture their big fat three day Indian Wedding in Udaipur in Rajasthan.
Using his iPhone 6s Plus, Sephi Bergerson said: “What I like about the iPhone is it helps me get much closer to the subject and have eye contact. With DSLR, the camera comes between me and the subject. The iPhone won’t replace the DLSR but it offers a completely new medium of photography.”
Sephi Bergerson started shooting weddings as he was interested to find more about Indian weddings. He also got a contract to shoot Indian weddings for a book, “Behind the Indian Veil“.
Capturing the wedding moments on iPhone during day light was amazing as it gave great results to Sephi Bergerson but during the night it was tricky to shoot due to low light. The ISO limit was also a problem to shoot on his iPhone 6s Plus unless he uses motion blur.
Sephi Bergerson used a number of filters and editing options directly available on the iPhone. These post-production options available directly on the smartphone helped him a lot in his work. He also used a hand-held LED light to give more proper exposure to the photos.
This isn’t an end to Sephi Bergerson photography on iPhone as his next in line project is wildlife photography for a book, “iKenya” which will be entirely captured and edited on his iPhone 6s Plus.
Both the iPhone 6s & 6s plus comes with 12 mega-pixels rear camera with 50% more pixels than the previous iPhone 6, so that one can see more details. In addition to this, users also get 50% more focus pixels in the new iPhone 6s. Apple iPhone 6s is loaded with a state-of-the-art sensor, a new image signal processor, advanced pixel technology, Focus Pixels, improved local tone mapping, and optical image stabilization.