Process, transform, and analyze images using common operations
Image Processing
Process and transform images.
Capabilities
- Resize and crop images
- Apply filters and adjustments
- Convert between formats
- Extract metadata and analyze content
Common Operations
Resize
from PIL import Image
img = Image.open("input.jpg")
img_resized = img.resize((800, 600), Image.LANCZOS)
img_resized.save("output.jpg")
Crop
# Crop box: (left, upper, right, lower)
img_cropped = img.crop((100, 100, 500, 400))
Format Conversion
img = Image.open("input.png")
img.convert("RGB").save("output.jpg", quality=85)
Filters
| Filter | Use Case |
|---|---|
| Blur | Reduce noise, privacy |
| Sharpen | Enhance details |
| Grayscale | Simplify, reduce size |
| Contrast | Improve visibility |
Supported Formats
- Input: JPEG, PNG, GIF, WebP, BMP, TIFF
- Output: JPEG, PNG, WebP
Best Practices
- Preserve aspect ratio when resizing
- Use appropriate quality settings (JPEG: 80-90)
- Strip metadata for privacy if needed
- Consider WebP for web delivery (smaller size)
Metadata Extraction
from PIL.ExifTags import TAGS
exif = img._getexif()
for tag_id, value in exif.items():
tag = TAGS.get(tag_id, tag_id)
print(f"{tag}: {value}")
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