All with the Elmarit-R 19mm 2.8 on a Sony A7R
#1
(https://live.staticflickr.com/65535/53578595183_dae642f30a_b.jpg) (https://flic.kr/p/2pCyiGt)
Elevator (https://flic.kr/p/2pCyiGt)
#2
(https://live.staticflickr.com/65535/53584128471_b198dbed96_b.jpg) (https://flic.kr/p/2pD3ExZ)
~ (https://flic.kr/p/2pD3ExZ)
#3
(https://live.staticflickr.com/65535/53585516365_0ea35b7f28_b.jpg) (https://flic.kr/p/2pDaM8c)
~ (https://flic.kr/p/2pDaM8c)
Wonderful! all of them.
Which cam?
Quote from: ISO on March 18, 2024, 01:37:56 AMWonderful! all of them.
Which cam?
Thanks, Mukund. All shot on the Sony A7R.
Superb !
Beautiful work. I am taken in by the strong geometric and almost abstract qualities in the first image.
Quote from: hvyas on March 18, 2024, 07:46:21 AMSuperb !
Thank you, Hansraj.
Quote from: Hankosaurus on March 18, 2024, 12:38:48 PMBeautiful work. I am taken in by the strong geometric and almost abstract qualities in the first image.
Thank you, Henry, for your kind words.
Stunning images! Its like stills from a movie scene.
Cinematic Grading. Wonderful
Excellent images.
There's a kind of vintage, grunge look that goes very well with the subject.
Can you please give some info about the processing?
Anoop, Abhishek, Bharat. Thank you for the kind words. I appreciate it.
Bharat, I just checked the catalog and most of the processing for all three photos is as follows.
0. Lens profile and perspective corrections.
1. Adjusted color temps slightly (shockingly the A7R recorded good WB for once), shadows, HL, blacks, whites
2. Adjusted the S curve very mildly.
3. The church photos have selective color adjustments for Reds/Oranges
4. The elevator photo has a little stronger vignetting to highlight the center subject. The blacks are also made a little deeper. Slight vignetting for the church shots.
5. Both church photos have a layer of gaussian blur with 10% opacity to give it softer light.
Beautiful images, processed to perfection.
all imeges are beautiful,,
Excellent. Love the colour grading and "glow effect" brought about your application of Gaussian blur.