Esempio n. 1
0
// 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)
}
Esempio n. 2
0
// 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)
}