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#21
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In message ,
Peter Rongsted wrote: Further more each pixel is only in one channel in raw. Remember the Bayer filter. I have ways here of looking at the image as 4 quadrants, each with a 1.58MP greyscale image from each r, G, G2, or B element of each RGGB tile. In other words, the red channel in one quadrant, the blue channel in another quadrant, and two green channel quadrants. They are all aliased, of course. If you combine them into one 1.58MP image, it looks horrible if there is any high-contrast sharpness in the image, with glaring color fringes around all the edges (this is how George Preddy claims all Bayer images start out, before being scaled up to 4x as many pixels). -- John P Sheehy |
#22
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#23
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#24
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In message ,
"Roger N. Clark (change username to rnclark)" wrote: wrote: How do you know that photoshop isn't using unsigned integers, but just not using the most significant bit? I could see more use for the headroom in intermediate calculations than negative values. Because all DNs in photoshop ar 1/2 those from ImagesPlus. I know that. And half of what they load in as in Mathcad as well. That was taken for granted in my response. My question was in contrast to you "unsigned" theory, which also relies on the same assumption (halved values). Photoshop maxes out at 32765 32,767, to be exact. and ImagesPLus 65535 (note correction to above, not 67535). If you just ignore the top bit, half the image would be saturated in photoshop. Photoshop had to divide all the DNs by 2. Which is the same thing as shifting the bits to the right, and putting the leftmost (MSB) as an unused range. On octal dump of the tif files show values up in the 65,000 range, so the original file is 16-bit unsigned integers. The 15 least significant bits for 16-bit signed and unsigned are exactly the same for #s 0 through 32767. The only difference is that the MSB adds more positive numbers in unsigned (32768 to 65535), and signals negative numbers (-32768 to -1) in signed. My question was, why do you think that the numbers are unsigned? -- John P Sheehy |
#25
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In message ,
"Roger N. Clark (change username to rnclark)" wrote: wrote: How do you know that photoshop isn't using unsigned integers, but just not using the most significant bit? I could see more use for the headroom in intermediate calculations than negative values. Because all DNs in photoshop ar 1/2 those from ImagesPlus. I know that. And half of what they load in as in Mathcad as well. That was taken for granted in my response. My question was in contrast to you "unsigned" theory, which also relies on the same assumption (halved values). Photoshop maxes out at 32765 32,767, to be exact. and ImagesPLus 65535 (note correction to above, not 67535). If you just ignore the top bit, half the image would be saturated in photoshop. Photoshop had to divide all the DNs by 2. Which is the same thing as shifting the bits to the right, and putting the leftmost (MSB) as an unused range. On octal dump of the tif files show values up in the 65,000 range, so the original file is 16-bit unsigned integers. The 15 least significant bits for 16-bit signed and unsigned are exactly the same for #s 0 through 32767. The only difference is that the MSB adds more positive numbers in unsigned (32768 to 65535), and signals negative numbers (-32768 to -1) in signed. My question was, why do you think that the numbers are unsigned? -- John P Sheehy |
#26
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#27
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Roger N. Clark (change username to rnclark) wrote:
In another thread in this newsgroup, the dynamic range of an image and DSLRs are being discussed. In case you are interested, I put together a page showsing some results, and were not following that thread, see below. Here is a page I put together regarding dynamic range. I went out in the backyard and snapped a few pictures of a pretty random scene and found it had a dynamic range of 11 bits, and than includes all diffusely reflecting objects (no bright metal reflections, no bright clouds in the scene). http://clarkvision.com/imagedetail/dynamicrange The canon 10D recorded 11 bits of dynamic range (max signal / RMS noise near the minimum intensity levels). I've added another figu Figure 5. Jpeg image values plotted against 16-bit linear image values shows the jpeg transfer function (the default contrast on the 10D). Note that the jpeg saturates at about half the level of the 16-bit data. The 16-bit file has a 1 stop increase in dynamic range before data saturation compared to the jpeg image. The jpeg image has less dynamic range recorded (the lows and highs are clipped), and less signal to noise. While the low end of the jpeg is close to linear, the Jpeg has only 50 integer levels while the 16-bit tif image has about 1880 integer levels over the same intensity range, or about 37 times finer intensity detail. Toward the bright end, the 16-bit tiff image has even more detail than the low end of the jpeg image. For example, in the jpeg data from DN 337 to 247, the 16-bit image goes from 22800 to 25200 or 2400 DN. Thus the 16-bit tiff imge has 2400/10 = 240 times the intensity detail! |
#28
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"Roger N. Clark (change username to rnclark)" wrote
in : I've added another figu Figure 5. Jpeg image values plotted against 16-bit linear image values shows the jpeg transfer function (the default contrast on the 10D). Nice! It shows that you lose a little more than one stop in the bright part. The first image (converted from RAW) - is that taken at 1/4000 s? /Roland |
#29
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Roger N. Clark (change username to rnclark) wrote:
[] I've added another figu Figure 5. Jpeg image values plotted against 16-bit linear image values shows the jpeg transfer function (the default contrast on the 10D). Note that the jpeg saturates at about half the level of the 16-bit data. The 16-bit file has a 1 stop increase in dynamic range before data saturation compared to the jpeg image. An excellent addition. As the transfer characteristic is suspected to be a gamma correction, would a log-log plot be more appropriate? Cheers, David |
#30
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Roger N. Clark (change username to rnclark) wrote:
[] I've added another figu Figure 5. Jpeg image values plotted against 16-bit linear image values shows the jpeg transfer function (the default contrast on the 10D). Note that the jpeg saturates at about half the level of the 16-bit data. The 16-bit file has a 1 stop increase in dynamic range before data saturation compared to the jpeg image. An excellent addition. As the transfer characteristic is suspected to be a gamma correction, would a log-log plot be more appropriate? Cheers, David |
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