I have an 8-bit 640x480 image that I would like to shrink to a 320x240 image:
void reducebytwo(uint8_t *dst, uint8_t *src)
//src is 640x480, dst is 320x240
What would be the best way to do that using ARM SIMD NEON? Any sample code somewhere?
As a starting point, I simply would like to do the equivalent of:
for (int h = 0; h < 240; h++)
for (int w = 0; w < 320; w++)
dst[h * 320 + w] = (src[640 * h * 2 + w * 2] + src[640 * h * 2 + w * 2 + 1] + src[640 * h * 2 + 640 + w * 2] + src[640 * h * 2 + 640 + w * 2 + 1]) / 4;
This is a one to one translation of your code to arm NEON intrinsics:
#include <arm_neon.h>
#include <stdint.h>
static void resize_line (uint8_t * __restrict src1, uint8_t * __restrict src2, uint8_t * __restrict dest)
{
int i;
for (i=0; i<640; i+=16)
{
// load upper line and add neighbor pixels:
uint16x8_t a = vpaddlq_u8 (vld1q_u8 (src1));
// load lower line and add neighbor pixels:
uint16x8_t b = vpaddlq_u8 (vld1q_u8 (src2));
// sum of upper and lower line:
uint16x8_t c = vaddq_u16 (a,b);
// divide by 4, convert to char and store:
vst1_u8 (dest, vshrn_n_u16 (c, 2));
// move pointers to next chunk of data
src1+=16;
src2+=16;
dest+=8;
}
}
void resize_image (uint8_t * src, uint8_t * dest)
{
int h;
for (h = 0; h < 240 - 1; h++)
{
resize_line (src+640*(h*2+0),
src+640*(h*2+1),
dest+320*h);
}
}
It processes 32 source-pixels and generates 8 output pixels per iteration.
I did a quick look at the assembler output and it looks okay. You can get better performance if you write the resize_line function in assembler, unroll the loop and eliminate pipeline stalls. That would give you an estimated factor of three performance boost.
It should be a lot faster than your implementation without assembler changes though.
Note: I haven't tested the code...
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