Fixing grayscale conversion

This commit is contained in:
2025-12-11 15:15:38 +02:00
parent e4ce882a18
commit 8eb1cc8c86
3 changed files with 56 additions and 33 deletions

View File

@@ -289,3 +289,40 @@ class Image:
def __str__(self) -> str:
"""String representation of the Image object."""
return self.__repr__()
def convert_grayscale_to_rgb_preserve_range(
pil_image: PILImage.Image,
) -> PILImage.Image:
"""Convert a single-channel PIL image to RGB while preserving dynamic range.
Args:
pil_image: Single-channel PIL image (e.g., 16-bit grayscale).
Returns:
PIL Image in RGB mode with intensities normalized to 0-255.
"""
if pil_image.mode == "RGB":
return pil_image
grayscale = np.array(pil_image)
if grayscale.ndim == 3:
grayscale = grayscale[:, :, 0]
original_dtype = grayscale.dtype
grayscale = grayscale.astype(np.float32)
if grayscale.size == 0:
return PILImage.new("RGB", pil_image.size, color=(0, 0, 0))
if np.issubdtype(original_dtype, np.integer):
denom = float(max(np.iinfo(original_dtype).max, 1))
else:
max_val = float(grayscale.max())
denom = max(max_val, 1.0)
grayscale = np.clip(grayscale / denom, 0.0, 1.0)
grayscale_u8 = (grayscale * 255.0).round().astype(np.uint8)
rgb_arr = np.repeat(grayscale_u8[:, :, None], 3, axis=2)
return PILImage.fromarray(rgb_arr, mode="RGB")