![denoiser 3 denoiser 3](https://m.media-amazon.com/images/I/61NxWPsdnTL._AC_SL1500_.jpg)
6 or 1.6 processes MVTools in 8-bit at 60% of the size. Optional resize factor is set after the dot: MVTools (m1) and BM3D (m2) passes can also be downscaled for performance gain, and it can even improve quality! Values between. Setting m2=2 instead of 3 will only affect BM3D post-processing (YUV444P16 instead of YUV444PS) Values such as m2=1, m3=1 will behave the same as m2=2, m3=2. Note: BM3D always processes in 32-bit, KNLMeansCL always processes in 16-bit+, and post-processing always processes at least in 16-bit, so certain This means you can fine-tune for quality vs performance.Ġ = Disabled, 1 = 8-bit, 2 = 16-bit, 3 = 32-bit +++ Denoising Pass Configuration (m1=.6, m2=2, m3=2) +++Įach pass (method) can be configured with m1 (MVTools), m2 (BM3D) and m3 (KNLMeansCL) parameters to run at desired bitdepth. All prefilters benefit from running KNLMeans over it. Weakness: Can blur out details and give an artificial plastic effect A blurry ref will remove more grain while BM3D puts back a lot of details. Strength: Good at preserving fine details! Ref: Impacts vectors analysis but low impact on outcome Weakness: Can remove too much, especially with delicate textures like water. Strength: Removes a lot of noise, good at removing temporal noise. Each denoiser has its strengths and weaknesses. To provide the best output, processing is done in 3 passes, passing the output of one pass as the ref clip of the 2nd pass. When conv=True, processing is done in YCgCoR, and in OPP colorspace for BM3D. The default settings are very tolerant to various types of clips.Īll processing is done in YUV444 format.
#Denoiser 3 720p#
Very noisy 720p WebCam footage has HUGE noise reduction while preserving a surprising amount of natural details. h = 1.4 or 2.8 are generally the best values.Īccording to my tests, water & cliff 5K video with little noise preserves the details very well while removing subtle grain, and with same settings, You can also set h=2.8 if the output remains too noisy.
![denoiser 3 denoiser 3](http://ximagic.com/d_im_lena/lena400_dwt400xVHx1.png)
One setting that can allow increasing denoising (and performance) It runs with BM3D sigma=9 and KNL h=1.4, and generally you shouldn't change that. One strange aspect of xClean is that denoising is automatic and there's very little room to configure denoising strength other than reducing the overall effect. XClean is essentially KNLMeans with advanced pre-filtering and with post-processing to renoise & sharpen to make the image look more natural. A lower value doesn't remove enough noise, and a higher value only makes the edges sharper. Similarly, BM3D performs best with sigma=9. KNLMeans also keeps a lot of data from the clip passed as rclip, so doing a good prefilter highly impacts the output. (tested 5K GoPro footage and noisy WebCam), denoising with less than h=1.4 looks too noisy, and anything above it blurs out the details.
![denoiser 3 denoiser 3](https://assets.rocketstock.com/uploads/2017/05/Denoiser_DenoiserIII.jpg)
KNLMeans does a good job at denoising but can soften the image, lose details and give an artificial plastic look. If only darker areas contain noise, set strength=-50įor better performance, set m1=0 or m2=0, or set m1=.5 and m2=3.6 (downscale)īM3D performance can be greatly improved by setting radius=0, block_step=7, bm_range=7, ps_range=5įor 720p WebCam, optimal settings are: sharp=9.5, m1=.65, h=2.8įor 288p anime, optimal settings are: sharp=9.5, m1=.7, rn=0, optional depth=1įor 4-5K GoPro (with in-camera sharpening at Low), optimal settings are: sharp=7.7, m1=.5, m2=3.7, optional strength=-50 (or m1=.6, m2=3.8 if your computer can handle it) Performance-wise, BM3D pass is the heaviest and helps recover fine details, but this script runs 1 pass of BM3D whereas stand-alone BM3D runs twice.ĭefault settings provide the best quality in most cases. The hard work is in preserving the details in a way that feels natural.ĭesigned for raw camera footage to remove noise in dark areas while preserving the fine details. Removing noise is easy - just blur out everything. The objective is to remove noise while preserving as much details as possible. XClean runs MVTools -> BM3D -> KNLMeans in that order, passing the output of each pass as the ref of the next denoiser. Requires: rgsf, rgvs, fmtc, mv, mvsf, tmedian, knlm, bm3d, bm3dcuda_rtc, bm3dcpu, neo_f3kdb, akarin, nnedi3_resample, nnedi3cl