![]() ![]() ![]() I have also posted a link to the full-size jpegs for those who might prefer to make their own comparisons. 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 Just sharing my experience from going from a 10min export laptop to a sub 10 second export laptop and using capture one and dxo.Unlike working with human subjects or in a studio, wildlife are unpredictable, and rarely are conditions ideal for getting the best quality photo possible. with older dxo being stupidly slow, now just being slow. dxo is very poor with large directory of files with generating previews and seemingly not caching them for immediate preview. ![]() capture one defualt noise reduction is also better than the basic dxo noise reduction.Ĭapture one is also much faster to browse through images once the previews have been rendered. For critical uses you can also mask the background easily in C1. Sure i know this but the default noise reduction is pretty good for most cases with no speed impact and live view of the noise reduction. ![]() PhotoLab is also fast if you only use its C1-vintage NR. What makes DxO slow is its (optional) advanced computationally-intensive NR, which C1 lacks. My old laptop used to take 10 mins to export a file in dxo but capture one was was quick. Keeping my fingers crossed that Lr continues to be useable for my old MBP, cos the MBP is in perfect condition and runs even complex file editing with Lr without appreciable lag or delay.Ĭapture one is fast on old hardware. Looks like I will continue to use PL4 for occasional tasks and forget about investing in an update to PL6. I know I could greatly speed it up if I replaced the GPU.Īt least with PhotoLab, the exporting happens in the background, so you can edit the next image(s) while the previous one is being processed and exported. I have a 2018 PC, and DeepPRIME exports take about 12 seconds, and DP XD about 25 seconds. These modern tools are designed to take advantage of powerful CPUs and/or GPUs, and will process in a few seconds with modern silicon. Yes, your old, slow hardware is the problem the file type won't affect the speed. recent Topaz release) are really only optimized for latest MBs with the M1 processor. And on the trial version of PL6 having used DeepPrimeXD, it takes 10 mins per file (!).Īm I doing something wrong? Or possible this is due to my ‘old’ 2013 MacBook Pro, having seen that some recent software (e.g. However, if I try to export (to hard disk or direct to Lr) either of these types of file after corrections, including DeepPrime, export takes 3 minutes per image. To export a file started from a Canon CR2 raw, worked in PL4 for subsequent finishing in Lr, I assume that it would be best (for highest IQ) to export as TIFF or DNG. I have a copy of DxO PL4 (currently considering upgrade to 6) and would like to combine workflow with LrC (have only used them in isolation). ![]()
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