// ResizeBlur returns a new image resized to the given dimensions using the provided
// filter and blur factor (where > 1 is blurry, < 1 is sharp). If width or height is
// < 0, it's calculated proportionally to the other dimension. If both of them are < 0,
// an error is returned.
func (im *Image) ResizeBlur(width, height int, filter Filter, blur float64) (*Image, error) {
var data C.ResizeData
if width < 0 {
if height < 0 {
return nil, fmt.Errorf("invalid resize %dx%d", width, height)
}
h := float64(im.Height())
var ratio float64
if h != 0 {
ratio = float64(im.Width()) / h
}
width = int(float64(height) * ratio)
}
if height < 0 {
if width < 0 {
return nil, fmt.Errorf("invalid resize %dx%d", width, height)
}
var ratio float64
w := float64(im.Width())
if w != 0 {
ratio = float64(im.Height()) / w
}
height = int(float64(width) * ratio)
}
data.columns = C.ulong(width)
data.rows = C.ulong(height)
data.filter = C.FilterTypes(filter)
data.blur = C.double(blur)
return im.applyDataFunc("resizing", C.ImageDataFunc(C.resizeImage), &data)
}
// ResizeBlur returns a new image resized to the given dimensions using the provided
// filter and blur factor (where > 1 is blurry, < 1 is sharp).
func (im *Image) ResizeBlur(width, height int, filter Filter, blur float64) (*Image, error) {
var data C.ResizeData
data.columns = C.ulong(width)
data.rows = C.ulong(height)
data.filter = C.FilterTypes(filter)
data.blur = C.double(blur)
return im.applyDataFunc("resizing", C.ImageDataFunc(C.resizeImage), &data)
}