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-1.
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-
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-Consider just porting this C++ public domain
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-library back to C:
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- https://code.google.com/p/imageresampler/source/browse/#svn%2Ftrunk
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-(recommended by @castano)
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-2.
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-
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-Consider three cases just to suggest the spectrum
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-of possiblities:
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-
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-a) linear upsample: each output pixel is a weighted sum
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-of 4 input pixels
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-
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-b) cubic upsample: each output pixel is a weighted sum
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-of 16 input pixels
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-
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-c) downsample by N with box filter: each output pixel
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-is a weighted sum of NxN input pixels, N can be very large
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-
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-Now, suppose you want to handle 8-bit input, 16-bit
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-input, and float input, and you want to do sRGB correction
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-or not.
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-
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-Suppose you create a temporary buffer of float pixels, say
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-one scanline tall. Actually two temp buffers, one for the
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-input and one for the output. You decode a scanline of the
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-input into the temp buffer which is always linear floats. This
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-isolates the handling of 8/16/float and sRGB to one place
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-(and still allows you to make optimized 8-bit-sRGB-to-float
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-lookup tables). This also allows you to put wrap logic here,
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-explicitly wrapping, reflecting, or replicating-from-edge
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-pixels that would come from off-edge.
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-
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-You then do whatever the appropriate weighted sums are
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-into the output buffer, and you move on to the next
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-scanline of the input.
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-
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-The algorithm just described works directly for case (c).
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-Suppose you're downsampling by 2.5; then output scanline 0
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-sums from input scanlines 0, 1, and 2; output scanline 1
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-sums from 2,3,4; output 2 from 5,6,7; output 3 from 7,8,9.
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-Note how 2 & 7 get reused, but we don't have to recompute
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-them because we can do things in a single linear pass
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-through the input and output at the same time.
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-
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-Now, consider case (a). When upsampling, the same two input
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-scanlines will get sampled-from for multiple output scanlines.
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-So, to avoid recomputing the input scanlines, we need either
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-multiple input or multiple output temp buffer lines. Since
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-the number of output lines a given pair of input scanlines
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-might touch scales with the upsample amount, it makes more
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-sense to use two input scanline buffers. For cubic, you'll
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-need four scanline buffers, and in general the number of
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-buffers will be limited by the max filter width, which is
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-presumably hardcoded.
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-
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-It turns out to be slightly different for two reasons:
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-
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- 1. when using an arbitrary filter and downsampling,
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- you actually need N output buffers and 1 input buffer
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- (vs 1 output buffer and N input buffers upsampling)
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-
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- 2. this approach will be very inefficient as written.
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- you want to use separable filters and actually do
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- seperable computation: first decode an input scanline
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- into a 'decode' buffer, then horizontally resample it
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- into the "input" buffer (kind of a misnomer, but
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- they're the inputs to the vertical resampler)
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-
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-(The above approach isn't optimal for non-uniform resampling;
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-optimal is to do whichever axis is smaller first, but I don't
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-think we have to care about doing that right.)
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-
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-
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-Now, you can either:
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-
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- 1. malloc the temp memory
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- 2. alloca it
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- 3. allocate a fixed amount on the stack
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- 4. let the user pass it in
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-
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-I forbid #2 in stb libraries for portability.
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-
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-If you're not allocating the output image, but rather requiring
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-the user to pass it in, it's probably worth trying to avoid #1
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-because people always want to use stb libs without any memory
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-allocations for various reason. (Note that most stb libs go
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-crazy with memory allocations--you shouldn't use stb_image
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-in a console game--but I've tried to avoid it more in newer
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-libs.)
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-
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-The way #3 would work is instead of using a scanline-width
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-temp buffer, use some fixed-width temp buffer that's W pixels,
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-and scale the image in vertical stripes that are that wide.
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-Suppose you make the temp buffers 256 wide; then an upsample
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-by 8 computes 256-pixel-width strips (from ~32-pixel-wide input
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-strips), but a downsample by 8 computes ~32-pixel-width
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-strips (from a 256-pixel width strip). Note this limits
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-the max down/upsampling to be ballpark 256x along the
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-horizontal axis.
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-
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-In the following, I do #3 and allow #4 for cases where #3 is
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-too small, but it's not the only possibility:
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-
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-
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-
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-Function prototypes:
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-
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-the highest-level one could be:
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-
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- stb_resample_8bit(uint8_t *dest, int dest_width, int dest_height,
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- uint8_t const *src , int src_width, int src_height,
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- int channels,
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- stbr_filter filter);
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-
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-the lowest-level one could be:
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-
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- stb_resample_arbitrary(void *dst, stbr_type dst_type, int dst_width, int dst_height, int dst_stride_in_bytes,
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- void const *src, stbr_type src_type, int src_width, int src_height, int src_stride_in_bytes,
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- float s0, float t0, float s1, float t1, // range of source to use, 0..1 in GPU texture-coordinate style
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- int channels,
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- int nonpremul_alpha_channel_index,
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- stbr_wrapmode wrap, // clamp, wrap, mirror
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- stbr_filter filter,
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- void *tempmem, size_t tempmem_size_in_bytes);
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-
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-And there would be a bunch of convenience functions in-between those two levels.
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-
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-
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-Some notes:
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-
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- s0,t0,s1,t1:
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- this allows fine subpixel-positioning and subpixel-resizing in an explicit way without
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- things having to be exact pixel multiples. it allows people to pseudo-stream
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- images by computing "tiles" of images a bit at a time without forcing those
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- tiles to quantize their source data.
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-
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- nonpremul_alpha_channel_index:
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- if this is negative, no channels are processed specially
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- if this is non-negative, then it's the index of the alpha channel,
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- and the image should be treated as non-premultiplied alpha that
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- needs to be resampled accounting for this (weight the sampling
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- by the alpha channel, i.e. premultiply, filter, unpremultiply).
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- this mechanism only allows one alpha channel and ALL channels
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- are scaled by it; an alternative would be to find some way to
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- pass in which channels serve as alpha channels for which other
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- channels, but eh.
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-
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- tempmem, tempmem_size:
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- all functions will needed tempmem, but they can allocate a fixed tempmem buffer
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- on the stack. providing an API that allows overriding the amount of tempmem
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- available allows people to process arbitrarily large images. the return
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- value for the function could be 0 on success or non-0 being the size of
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- tempmem needed.
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-
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- src_stride, dest_stride:
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- the stride variables are signed to allow you to describe both traditional
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- top-to-bottom images (pass in a pointer to the top-left pixel and
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- a positive stride) and bottom-to-top images (pass in a pointer to
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- the bottom-left pixel and a negative stride)
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-
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- ordering of src & dest:
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- put these in whatever order you like, i just chose one arbitrarily
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-
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- width & height
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- these are ints not unsigned ints or size_ts because i personally forbid
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- unsigned variables for almost everything to avoid signed/unsigned comparison
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- issues, but this is a matter of personal taste and you can do differently
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-
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- Intermediate-level functions should be provided for each source type & same dest type
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- so that the code is typesafe; only when people fall back to stb_resample_arbitrary should
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- they be at risk for type unsafety. (One way to deal avoid an explosion of functions of
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- every possible *combination* of types in a type-safe way would be to define one function
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- for each input type, and accept three separate output pointers, one for each type, only
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- one of which can be non-NULL. 9 functions isn't that bad, but if you want to have three
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- or four intermediate-level functions with fewer parameters, 9*4 gets silly. Could also
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- use the same trick for stb_resample_arbitrary, replacing it with three typesafe functions.)
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-
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-
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-
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-
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-Reference:
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-
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-Cubic sampling function for seperable cubic:
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- f(x) = (a+2)*x^3 - (a+3)*x^2 + 1 for 0 <= x <= 1
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- f(x) = a*x^3 - 5*a*x^2 + 8*a*x - 4*a for 1 < x <= 2
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- f(x) = 0 otherwise
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- "a" is configurable, try -1/2 (from http://pixinsight.com/forum/index.php?topic=556.0 )
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-
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-Wish list:
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- s0, t0, s1, t1 vs scale_x, scale_y, offset_x, offset_y - What's the best interface?
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- Separate wrap modes and filter modes per axis
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- Alpha test coverage respecting resize (FloatImage::alphaTestCoverage and FloatImage::scaleAlphaToCoverage: https://code.google.com/p/nvidia-texture-tools/source/browse/trunk/src/nvimage/FloatImage.cpp)
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- Installable filter kernels
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