Hi Niklas,

Thank you for the patch.

On Tuesday 04 Oct 2016 15:09:13 Niklas Söderlund wrote:
> From: Niklas Söderlund <[email protected]>
> 
> The HGT can operate with hue areas which are not directly adjoined. In
> this mode of operation hue values which are between two areas are

s/which/that/g

> attributed to both areas with a weight for the final histogram.
> 
> Add support to generate such histograms using gen-image which can be
> used to verify correct operation of the HGT. Previously gen-image could
> only generate histograms with adjoined areas.
> 
> Signed-off-by: Niklas Söderlund <[email protected]>
> ---
>  src/gen-image.c | 98 +++++++++++++++++++++++++++++++++++++++++++-----------
>  1 file changed, 79 insertions(+), 19 deletions(-)
> 
> diff --git a/src/gen-image.c b/src/gen-image.c
> index 688f602..9cd5eb9 100644
> --- a/src/gen-image.c
> +++ b/src/gen-image.c
> @@ -1301,7 +1301,7 @@ static void histogram_compute_hgt(const struct image
> *image, void *histo, uint8_t rgb[3], hsv[3], smin = 255, smax = 0;
>       uint32_t sum = 0, hist[6][32];
>       unsigned int x, y, i;
> -     int m, n;
> +     unsigned int hist_n, hue_pos;
> 
>       memset(hist, 0x00, sizeof(hist));
> 
> @@ -1317,24 +1317,84 @@ static void histogram_compute_hgt(const struct image
> *image, void *histo, smax = max(smax, hsv[1]);
>                       sum += hsv[1];
> 
> -                     /* Find m and n for hist */
> -                     m = n = -1;
> -                     for (i = 0; i < 6  && m == -1; i++)
> -                             if (hsv[0] >= hue_areas[i*2] && (hsv[0] <= 
hue_areas[i*2+1]))
> -                                     m = i;
> -                     for (i = 0; i < 32 && n == -1; i++)
> -                             if ((hsv[1] >= 8*i) && (hsv[1] < 8 * (i+1)))
> -                                     n = i;
> +                     /* Find n for hist */

How about "Compute the n coordinate of the histogram bucket" ?

> +                     hist_n = hsv[1] / 8;
> 
>                       /*
> -                      * The HW supports a declining weight to be applied
> -                      * when hue areas are not directly adjoined. This
> -                      * test can not replicated this, the hue areas need
> -                      * to be set without any gaps else the weights from HW
> -                      * will be wrong. Max weight is 16.
> +                      * Find position in hue areas which is greater than 
the

s/which/that/

https://en.oxforddictionaries.com/usage/that-or-which

> +                      * current H value. Special consideration is needed 
for:
> +                      *
> +                      * - Values inside a hue area are inclusive, values 
that
> +                      *   are between two hue areas are exclusive.
> +                      * - Hue area 0 can wrap around the H value space, for
> +                      *   example include values greater then 240 but less

s/then/than/
s/but/and/

> +                      *   then 30.
>                        */
> -                     if (m != -1 && n != -1)
> -                             hist[m][n] += 16;
> +                     for (i = 0; i < 12; i++) {
> +
> +                             /* Special cases when area 0 wraps around */
> +                             if (hue_areas[0] > hue_areas[1]) {
> +
> +                                     /* Check if pixel is inside the 
wrapped area 0 */
> +                                     if (hsv[0] > hue_areas[0] || hsv[0] <= 
hue_areas[1]) {
> +                                             hue_pos = 1;
> +                                             break;
> +                                     }
> +
> +                                     /* Exclude first area point from 
normal logic */
> +                                     if (!i)
> +                                             continue;
> +                             }
> +
> +                             /* Check if H is inside one of the hue areas 
*/
> +                             if ((hsv[0] < hue_areas[i]) || (i % 2 && 
hsv[0] == hue_areas[i])) {
> +                                     hue_pos = i;
> +                                     break;
> +                             }
> +
> +                             /* Check if H is larger then area 5 */
> +                             if (hsv[0] > hue_areas[11]) {
> +                                     hue_pos = 0;
> +                                     break;
> +                             }
> +                     }

What would you think about precomputing the hue pos values for hue values 0 to 
255 and just indexing that table ? That should be faster at runtime, with an 
additional memory consumption of 256 bytes, which seems quite negligible to 
me. I can fix that as an additional patch.

> +
> +                     /*
> +                      * Figure out which areas the current H value should 
be
> +                      * attributed to. If the H value is inside one of the
> +                      * areas the max weight (16) is attributed to it else
> +                      * the weight is split between them based on how close
> +                      * the H value is to each area.
> +                      *
> +                      * If ''hue_pos'' are odd the H value is inside an

s/are/is/

> area and
> +                      * it should be attributed the full weight to area 
hue_pos/2
> +                      * else it should be split between area hue_pos/2 and

s/area/areas/

> +                      * hue_pos/2 - 1.
> +                      */
> +                     if (hue_pos % 2) {
> +                             hist[hue_pos/2][hist_n] += 16;
> +                     } else {
> +                             unsigned int hue1, hue2;
> +                             unsigned int length, width, weight;

I'd name the variable dist(ance) as it's not a length.

I can fix all this when applying, no need to resubmit.

> +
> +                             hue1 = hue_areas[hue_pos ? hue_pos - 1 : 11];
> +                             hue2 = hue_areas[hue_pos];
> +
> +                             /* Calculate the total width between the two 
areas */
> +                             width = hue2 - hue1 + (hue1 > hue2 ? 256 : 0);
> +
> +                             /* Calculate the length to the right most area 
*/
> +                             if (hue1 > hue2 && hsv[0] > hue1)
> +                                     length = width - (hsv[0] - hue1);
> +                             else
> +                                     length = abs(hsv[0] - hue2);
> +
> +                             /* Calculate weight and round up */
> +                             weight = (length * 16 + width - 1) / width;
> +                             /* Split weight between the two areas */
> +                             hist[hue_pos ? hue_pos/2 - 1 : 5][hist_n] += 
weight;
> +                             hist[hue_pos/2][hist_n] += 16 - weight;
> +                     }
>               }
>       }
> 
> @@ -1349,9 +1409,9 @@ static void histogram_compute_hgt(const struct image
> *image, void *histo, histo += 4;
> 
>       /* Weighted Frequency of Hue Area-m and Saturation Area-n */
> -     for (m = 0; m < 6; m++) {
> -             for (n = 0; n < 32; n++) {
> -                     *(uint32_t *)histo = hist[m][n];
> +     for (x = 0; x < 6; x++) {
> +             for (y = 0; y < 32; y++) {
> +                     *(uint32_t *)histo = hist[x][y];
>                       histo += 4;
>               }
>       }

-- 
Regards,

Laurent Pinchart

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