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Apply readability-simplify-boolean-expr

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Flössie
2016-10-12 20:01:30 +02:00
parent 19de9d1efa
commit aeaff29ac0
18 changed files with 53 additions and 85 deletions
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8
rtengine/ipsharpen.cc
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@@ -184,7 +184,7 @@ void ImProcFunctions::sharpening (LabImage* lab, float** b2, SharpeningParams &s
#endif
{
if (sharpenParam.edgesonly == false) {
if (!sharpenParam.edgesonly) {
gaussianBlur (lab->L, b2, W, H, sharpenParam.radius / scale);
} else {
bilateral<float, float> (lab->L, (float**)b3, b2, W, H, sharpenParam.edges_radius / scale, sharpenParam.edges_tolerance, multiThread);
@@ -327,7 +327,7 @@ void ImProcFunctions::MLsharpen (LabImage* lab)
{
// JD: this algorithm maximize clarity of images; it does not play on accutance. It can remove (partialy) the effects of the AA filter)
// I think we can use this algorithm alone in most cases, or first to clarify image and if you want a very little USM (unsharp mask sharpening) after...
if (params->sharpenEdge.enabled == false) {
if (!params->sharpenEdge.enabled) {
return;
}
@@ -564,7 +564,7 @@ void ImProcFunctions::MLsharpen (LabImage* lab)
//! \param luminance : Luminance channel of image
void ImProcFunctions::MLmicrocontrast(float** luminance, int W, int H)
{
if (params->sharpenMicro.enabled == false) {
if (!params->sharpenMicro.enabled) {
return;
}
@@ -949,7 +949,7 @@ void ImProcFunctions::sharpeningcam (CieImage* ncie, float** b2)
#endif
{
if (params->sharpening.edgesonly == false) {
if (!params->sharpening.edgesonly) {
gaussianBlur (ncie->sh_p, b2, W, H, params->sharpening.radius / scale);
} else {
bilateral<float, float> (ncie->sh_p, (float**)b3, b2, W, H, params->sharpening.edges_radius / scale, params->sharpening.edges_tolerance, multiThread);