Today I wanted to investigate three different methods of noise reduction for digital photos and answer a question that has been on my mind for a while: how do different post-production noise reduction techniques compare? Do the differences even matter? To do this, I compared the same photo with noise reduction applied using three different software methods: Topaz DeNoise AI, DXO Photolab 4 DeepPRIME, and Lightroom Noise Reduction. ![]() Early in my hobby I was quick to throw away images with noise, but with great improvements in noise reduction software technologies, reasonable improvements can be made to even the most noisy images. ![]() These issues, coupled with limited budgets with which to buy expensive lenses that fare best in low light conditions can only lead to one thing: noisy images. When photographing wildlife, there are a number of challenges that affect the quality of the final photograph:ġ) the need to shoot in low-light when many wildlife are most active,Ģ) the lack of reach due to far-off subjects or “too short” lenses, which necessitates cropping to get a desirable compositionģ) sometimes subjects are fast moving and dropping the shutter speed to compensate for low light is not an option Unlike working with human subjects or in a studio, wildlife are unpredictable, and rarely are conditions ideal for getting the best quality photo possible.
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