Computational photography is changing how we approach long exposures, but not everyone agrees it's a step forward.
Coming to you from Chris Baitson Photo, this thoughtful video explores computational photography through two specific camera modes—Live ND and Live Composite—on the OM System OM-1 camera. Baitson demonstrates that a long exposure shot can be produced by stacking multiple short exposures in-camera, which achieves a similar aesthetic without relying on traditional long-exposure methods. This approach simplifies capturing smooth, dreamy effects in scenes with moving elements, such as water. Baitson points out this approach significantly streamlines your workflow, especially if editing isn't your favorite task. He argues convincingly for computational tools, emphasizing their practical advantages in saving time and reducing manual editing.
The video further explores Live Composite mode, a powerful feature for capturing exceptionally long exposures. Unlike traditional methods, this mode continuously stacks highlights from multiple shorter exposures onto an initial base image. Baitson showcases this method by photographing surf swirling around posts, effortlessly achieving a five-minute exposure without complicated setups. However, he openly discusses limitations—like noticeable artifacts when photographing skies with moving clouds, revealing computational photography isn’t flawless.
Baitson provides useful insight into how computational photography fits into a practical workflow. He emphasizes the advantages of in-camera image stacking methods to streamline shooting and reduce post-processing effort. The benefits are particularly clear for those who prefer to minimize editing. Yet, the video acknowledges that these computational tools aren't universally embraced. Baitson notes the strong opinions photographers have about computational photography versus traditional techniques, reinforcing that personal preference and specific creative objectives should drive your choice of methods. His balanced approach encourages you to consider these digital tools as part of your broader photographic toolkit, rather than as outright replacements for traditional techniques.
The video also includes real-world demonstrations that reveal practical considerations for computational photography. Shooting conditions, such as tide levels and cloud cover, impact the effectiveness of these in-camera techniques. Baitson's experience highlights the necessity of adapting your approach based on environmental factors and timing. For instance, he discusses the difficulties of photographing when the conditions suddenly shift, demonstrating the practical constraints of computational methods under unpredictable scenarios. Check out the video above for the full rundown from Baitson.
