![]() ![]() This is my interim report and getting excited.Īll credits go to these talented developers. There seems to be a way to completely defeat the camera processing, but we'll have to wait. The patch seems to be completely defeat the HPS. The now better HPS (Hot Pixel Suppression) method is doing a great job (looks cleaner) than teh previous HPS (nick named star eater). ![]() There seems to be a method to defeat that. N does R and B channels magnitude scaling (1.4x). But we know P does some magic work on raw as well.ģ. The values are high (about 596-610), I think subtract these by 595 may start to make sense.īTW, I have a K-01 (same sensor IMX071), the OBP values are quite different. Can show OBP area if chose such option in patcher. But will be fixed at the next release 0.9.15.Ģ. Note: the latter two are not optimized for speed or space.Īlso note: RawDigger currently having difficulty showing NEF Uncompressed due to overflow-beyond spec. With patcher v1.12, the latter two method can be chosen as well (can pick one and only one.) ** Note in camera setting, do not use RAW+JPEG or it will hang until battery removed. Lossless Compressed (i.e., data is compressed) and Uncompressed (not compressed. There are two other Nikon methods, both will not use Huffman encoding table (thus gapless and not lossy). The 14-bit sensor data is first lossy Huffman encoded (0 - 16383 mapped to 3073 levels on low side, 0 - 449 are 1:1 mapped) then resulted data compressed. I'd like to report what I know on D5100 related:ġ. If it uses a clipped dark then in-camera dark subtraction doesn't solve the problem of clipping. However the question still remains, does Nikon in-camera dark subtraction use a clipped or a non-clipped dark? I can't think of an easy way to test this. for faster moving objects or to create a night sky video then read noise could easily be the dominant factor. However if you want to do shorter exposures e.g. to achieve the same signal-to-noise ratio in the final stacked image.Īs an aside, read noise is not usually a factor because exposure length can be increased until the noise from sky background or from thermal noise dominates the read noise. In such situations, the overall quantum efficiency of the sensor is more important than the dark current or the read noise.īut if you are imaging at slower F-ratios, or on a warm night, or have very dark skies then the thermal noise might well be the dominant source of noise and so I would agree it could well be the case that you would need fewer sub-exposures from a low noise camera than you would from a higher thermal noise camera to get the same overall image quality i.e. In my own case, my main usage is full colour imaging on a fast (F/2.8) scope and I find the noise from the light pollution swamps the thermal noise and read noise (my sky is around mag 5.5 or so). It depends on what the main limiting factor is in your images i.e. Unfortunately the answer is: "it depends". Using wrong maximum value in processing will result into false colored highlights: (sorry, it is in russian, but google translate will do the trick).Yes, but based on your observations of the reduced noise - read and thermal - wouldn't you need less light images to achieve the same results as a camera with significantly more noise? If so, I just wonder if there is that much more imaging time required - at least until we get a suitable hack? Some cameras may clip data below ADC maximum value to avoid ADC non-linearity (many Canon cameras). Some cameras may subtract 'black level' (bias) before raw values recording, thus resulting in lower maximum values.Ģc. Some cameras alter RAW data in some way (Sony lossy compression mentioned above and many other formats with highlights compression tone curve), so data range is not same as ADC rangeĢb. (You may also find RawDigger software very useable for your work, to see raw data 'as is')Ģ. Some cameras use full pixel capacity at base (lowest) ISO, so data maximum is lower.Īnd inspect Panasonic histograms at low iso In first assumption, you're right: there is ADC with fixed bit count, so data range should fit into this range.ġ. ![]()
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