image-processing

• Resize and crop images
• Apply filters and adjustments
• Convert between formats
• Extract metadata and analyze content

Resize

```python

from PIL import Image

img = Image.open("input.jpg")

img_resized = img.resize((800, 600), Image.LANCZOS)

img_resized.save("output.jpg")

```

Crop

```python

# Crop box: (left, upper, right, lower)

img_cropped = img.crop((100, 100, 500, 400))

```

Format Conversion

```python

img = Image.open("input.png")

img.convert("RGB").save("output.jpg", quality=85)

```

| Filter | Use Case |

|--------|----------|

| Blur | Reduce noise, privacy |

| Sharpen | Enhance details |

| Grayscale | Simplify, reduce size |

| Contrast | Improve visibility |

• Input: JPEG, PNG, GIF, WebP, BMP, TIFF
• Output: JPEG, PNG, WebP

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)

```python

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}")

```