Lanczos may handle ringing and artifacts better. Lanczos – similar to the Kaiser filter, the results are usually indistinguishable between the two.Used primarily to reduce loss of detail while upsampling. The kernel has a larger width and thus produces blurrier results than the box flter. It’s also much faster than the other filters. Outside of the Lanczos and Kaiser falters, it’s a good choice for most cases. Nearest – bilinear filter, sharp switching between mipmaps?.Possibly/probably causes visual anomalies such as excessively sharp edges and stair-stepping artifacts. Default – no filtering is applied to image.I see no quality difference between the two myself.Įdit: No difference between DXT5 and DXT1 in quality(Just file size). Results in a 4:1 compression ratio with very good quality – generally better than 4:2:0 JPEG at the highest quality setting.īut from posts in the forum I see people using DXT1, which is supposedly best for black and white images. In other words, the luma (Y) is stored in the alpha channel and the chroma (CoCg) is stored in the first two of the 5:6:5 color channels. YCoCg (DXT5) High-quality compression of color images can be achieved by using the DXT5 format after converting the RGB_ data to CoCg_Y. NOTE 2: When creating and saving textures using the DXT5 format, I think it best to use AExp or, preferably, one of the YCoCg-ttypes over the typical DXT5 format when possible With modern hardware, the performance hit would be negligible. Then there’s this basically suggesting DXT5 is best for diffuse images, I would suggest experimenting with the texture in a rendering program to see how it affects the model according to the texture type (Compression:) in question.ĭoesn’t do anything I can detect though visually. The Use perceptual error metric is supposed to enhance visual quality.
NOTE: Use perceptual error metric becomes available when some type of compression method from The dds exporter has options like so for compression for instance, What differences are you expecting other than that? Could you maybe elaborate a bit further?
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