diff options
Diffstat (limited to 'third_party/skcms/src/TransferFunction.c')
| -rw-r--r-- | third_party/skcms/src/TransferFunction.c | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/third_party/skcms/src/TransferFunction.c b/third_party/skcms/src/TransferFunction.c index c32d1204a3..6daf0cf4d3 100644 --- a/third_party/skcms/src/TransferFunction.c +++ b/third_party/skcms/src/TransferFunction.c @@ -143,7 +143,7 @@ bool skcms_TransferFunction_invert(const skcms_TransferFunction* src, skcms_Tran // ∂tf/∂b = g(ax + b)^(g-1) // - g(ad + b)^(g-1) -static float eval_nonlinear(float x, const void* ctx, const float P[4]) { +static float eval_nonlinear(float x, const void* ctx, const float P[3]) { const skcms_TransferFunction* tf = (const skcms_TransferFunction*)ctx; const float g = P[0], a = P[1], b = P[2], @@ -158,7 +158,7 @@ static float eval_nonlinear(float x, const void* ctx, const float P[4]) { - powf_(D, g) + c*d + f; } -static void grad_nonlinear(float x, const void* ctx, const float P[4], float dfdP[4]) { +static void grad_nonlinear(float x, const void* ctx, const float P[3], float dfdP[3]) { const skcms_TransferFunction* tf = (const skcms_TransferFunction*)ctx; const float g = P[0], a = P[1], b = P[2], @@ -222,7 +222,7 @@ int skcms_fit_linear(const skcms_Curve* curve, int N, float tol, float* c, float // Fit the points in [start,N) to the non-linear piece of tf, or return false if we can't. static bool fit_nonlinear(const skcms_Curve* curve, int start, int N, skcms_TransferFunction* tf) { - float P[4] = { tf->g, tf->a, tf->b, 0 }; + float P[3] = { tf->g, tf->a, tf->b }; // No matter where we start, x_scale should always represent N even steps from 0 to 1. const float x_scale = 1.0f / (N-1); |