mirrors
/
nothings-stb
mirror of https://github.com/nothings/stb.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'master' of https://github.com/nothings/stb

This commit is contained in:
Sean Barrett 2014-09-23 17:22:52 -07:00
parent 8252a94f02 891f6d7720
commit 43fb9942de
2 changed files with 3 additions and 214 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

201
docs/stb_resample_ideas.txt
View File

@ -1,201 +0,0 @@
1.
Consider just porting this C++ public domain
library back to C:
https://code.google.com/p/imageresampler/source/browse/#svn%2Ftrunk
(recommended by @castano)
2.
Consider three cases just to suggest the spectrum
of possiblities:
a) linear upsample: each output pixel is a weighted sum
of 4 input pixels
b) cubic upsample: each output pixel is a weighted sum
of 16 input pixels
c) downsample by N with box filter: each output pixel
is a weighted sum of NxN input pixels, N can be very large
Now, suppose you want to handle 8-bit input, 16-bit
input, and float input, and you want to do sRGB correction
or not.
Suppose you create a temporary buffer of float pixels, say
one scanline tall. Actually two temp buffers, one for the
input and one for the output. You decode a scanline of the
input into the temp buffer which is always linear floats. This
isolates the handling of 8/16/float and sRGB to one place
(and still allows you to make optimized 8-bit-sRGB-to-float
lookup tables). This also allows you to put wrap logic here,
explicitly wrapping, reflecting, or replicating-from-edge
pixels that would come from off-edge.
You then do whatever the appropriate weighted sums are
into the output buffer, and you move on to the next
scanline of the input.
The algorithm just described works directly for case (c).
Suppose you're downsampling by 2.5; then output scanline 0
sums from input scanlines 0, 1, and 2; output scanline 1
sums from 2,3,4; output 2 from 5,6,7; output 3 from 7,8,9.
Note how 2 & 7 get reused, but we don't have to recompute
them because we can do things in a single linear pass
through the input and output at the same time.
Now, consider case (a). When upsampling, the same two input
scanlines will get sampled-from for multiple output scanlines.
So, to avoid recomputing the input scanlines, we need either
multiple input or multiple output temp buffer lines. Since
the number of output lines a given pair of input scanlines
might touch scales with the upsample amount, it makes more
sense to use two input scanline buffers. For cubic, you'll
need four scanline buffers, and in general the number of
buffers will be limited by the max filter width, which is
presumably hardcoded.
It turns out to be slightly different for two reasons:
1. when using an arbitrary filter and downsampling,
you actually need N output buffers and 1 input buffer
(vs 1 output buffer and N input buffers upsampling)
2. this approach will be very inefficient as written.
you want to use separable filters and actually do
seperable computation: first decode an input scanline
into a 'decode' buffer, then horizontally resample it
into the "input" buffer (kind of a misnomer, but
they're the inputs to the vertical resampler)
(The above approach isn't optimal for non-uniform resampling;
optimal is to do whichever axis is smaller first, but I don't
think we have to care about doing that right.)
Now, you can either:
1. malloc the temp memory
2. alloca it
3. allocate a fixed amount on the stack
4. let the user pass it in
I forbid #2 in stb libraries for portability.
If you're not allocating the output image, but rather requiring
the user to pass it in, it's probably worth trying to avoid #1
because people always want to use stb libs without any memory
allocations for various reason. (Note that most stb libs go
crazy with memory allocations--you shouldn't use stb_image
in a console game--but I've tried to avoid it more in newer
libs.)
The way #3 would work is instead of using a scanline-width
temp buffer, use some fixed-width temp buffer that's W pixels,
and scale the image in vertical stripes that are that wide.
Suppose you make the temp buffers 256 wide; then an upsample
by 8 computes 256-pixel-width strips (from ~32-pixel-wide input
strips), but a downsample by 8 computes ~32-pixel-width
strips (from a 256-pixel width strip). Note this limits
the max down/upsampling to be ballpark 256x along the
horizontal axis.
In the following, I do #3 and allow #4 for cases where #3 is
too small, but it's not the only possibility:
Function prototypes:
the highest-level one could be:
stb_resample_8bit(uint8_t *dest, int dest_width, int dest_height,
uint8_t const *src , int src_width, int src_height,
int channels,
stbr_filter filter);
the lowest-level one could be:
stb_resample_arbitrary(void *dst, stbr_type dst_type, int dst_width, int dst_height, int dst_stride_in_bytes,
void const *src, stbr_type src_type, int src_width, int src_height, int src_stride_in_bytes,
float s0, float t0, float s1, float t1, // range of source to use, 0..1 in GPU texture-coordinate style
int channels,
int nonpremul_alpha_channel_index,
stbr_wrapmode wrap, // clamp, wrap, mirror
stbr_filter filter,
void *tempmem, size_t tempmem_size_in_bytes);
And there would be a bunch of convenience functions in-between those two levels.
Some notes:
s0,t0,s1,t1:
this allows fine subpixel-positioning and subpixel-resizing in an explicit way without
things having to be exact pixel multiples. it allows people to pseudo-stream
images by computing "tiles" of images a bit at a time without forcing those
tiles to quantize their source data.
nonpremul_alpha_channel_index:
if this is negative, no channels are processed specially
if this is non-negative, then it's the index of the alpha channel,
and the image should be treated as non-premultiplied alpha that
needs to be resampled accounting for this (weight the sampling
by the alpha channel, i.e. premultiply, filter, unpremultiply).
this mechanism only allows one alpha channel and ALL channels
are scaled by it; an alternative would be to find some way to
pass in which channels serve as alpha channels for which other
channels, but eh.
tempmem, tempmem_size:
all functions will needed tempmem, but they can allocate a fixed tempmem buffer
on the stack. providing an API that allows overriding the amount of tempmem
available allows people to process arbitrarily large images. the return
value for the function could be 0 on success or non-0 being the size of
tempmem needed.
src_stride, dest_stride:
the stride variables are signed to allow you to describe both traditional
top-to-bottom images (pass in a pointer to the top-left pixel and
a positive stride) and bottom-to-top images (pass in a pointer to
the bottom-left pixel and a negative stride)
ordering of src & dest:
put these in whatever order you like, i just chose one arbitrarily
width & height
these are ints not unsigned ints or size_ts because i personally forbid
unsigned variables for almost everything to avoid signed/unsigned comparison
issues, but this is a matter of personal taste and you can do differently
Intermediate-level functions should be provided for each source type & same dest type
so that the code is typesafe; only when people fall back to stb_resample_arbitrary should
they be at risk for type unsafety. (One way to deal avoid an explosion of functions of
every possible *combination* of types in a type-safe way would be to define one function
for each input type, and accept three separate output pointers, one for each type, only
one of which can be non-NULL. 9 functions isn't that bad, but if you want to have three
or four intermediate-level functions with fewer parameters, 9*4 gets silly. Could also
use the same trick for stb_resample_arbitrary, replacing it with three typesafe functions.)
Reference:
Cubic sampling function for seperable cubic:
f(x) = (a+2)*x^3 - (a+3)*x^2 + 1 for 0 <= x <= 1
f(x) = a*x^3 - 5*a*x^2 + 8*a*x - 4*a for 1 < x <= 2
f(x) = 0 otherwise
"a" is configurable, try -1/2 (from http://pixinsight.com/forum/index.php?topic=556.0 )
Wish list:
s0, t0, s1, t1 vs scale_x, scale_y, offset_x, offset_y - What's the best interface?
Separate wrap modes and filter modes per axis
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)
Installable filter kernels

16
stb_image_resize.h
View File

@ -31,13 +31,9 @@
ADDITIONAL DOCUMENTATION
SRGB & FLOATING POINT REPRESENTATION
Some srgb-related code in this library relies on floats being 32-bit
IEEE floating point, and relies on a specific bitpacking order of C
bitfields. If you are on a system that uses non-IEEE floats or packs
C bitfields in the opposite order, then you can use a slower fallback
codepath by defining STBIR_NON_IEEE_FLOAT. (We didn't make this choice
idly; using mostly-but-not-100%-portable-code for this is a massive
speedup, especially upsampling where colorspace conversion dominates.)
The sRGB functions presume IEEE floating point. If you do not have
IEEE floating point, define STBIR_NON_IEEE_FLOAT. This will use
a slower implementation.
MEMORY ALLOCATION
The resize functions here perform a single memory allocation using
@ -655,12 +651,6 @@ typedef union
{
stbir_uint32 u;
float f;
struct
{
stbir_uint32 Mantissa : 23;
stbir_uint32 Exponent : 8;
stbir_uint32 Sign : 1;
};
} stbir__FP32;
static const stbir_uint32 fp32_to_srgb8_tab4[104] = {