image-processing

name	image-processing
description	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

1. Preserve aspect ratio when resizing
2. Use appropriate quality settings (JPEG: 80-90)
3. Strip metadata for privacy if needed
4. 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}")