- Add thresholding to better separate content from background
- Invert image so content becomes white for getbbox detection
- Fix issue where white and transparent areas weren't being trimmed
- Add is_final parameter to trim_whitespace and convert_to_monochrome
- Only optimize PNGs on the final operation of each level
- Remove optimization from extract command
- Level 1: optimize in trim_whitespace
- Level 2: optimize in convert_to_monochrome
- Level 3: defer to optipng
Simplify transparency handling by flattening image with white
background for bounds detection while preserving original
transparency in the final crop. This fixes the issue where
transparent areas were being treated as black during trimming.
- Replace OpenCV-based trim_whitespace with PIL implementation
- Remove redundant trim_whitespace_pil function
- Add initial trim step to extract command
- Standardize image processing to 2048px wide grayscale using Lanczos
- Handle transparency in whitespace trimming
- Use IntEnum for optimization levels
- Add proper level comparisons
- Treat transparent pixels as white for boundary detection
- Preserve transparency in output
- Fix black artifacts in transparent areas
- Modified deskew function to better detect staff lines
- Added morphological operations to enhance horizontal lines
- Used probabilistic Hough transform for more precise line detection
- Added .png to gitignore
Features:
- Page deskewing using contour detection
- Image enhancement with edge preservation
- High-resolution output (min 2048px width)
- Black and white conversion with proper contrast
Esa Kataja