This knowledge base article provides a technical overview of common and modern image file formats, focusing on:
Historical background
Compression mechanisms
Technical characteristics
Use cases
Performance implications
Security considerations
Intended audience:
IT professionals
System administrators
Web & application engineers
Support & infrastructure teams
Image formats differ primarily in:
Compression method
Color representation
Transparency support
Animation capability
Scalability
File size efficiency
Developed: 1992
Organization: Joint Photographic Experts Group
Purpose: Efficient storage of photographic images
β Lossy compression
Mechanism:
Discrete Cosine Transform (DCT)
Quantization removes visual details
Higher compression β quality loss
| Feature | JPEG |
|---|---|
| Compression | Lossy |
| Transparency | β No |
| Animation | β No |
| Scalability | β Raster only |
| Best For | Photos, gradients |
β Small file sizes
β Excellent for photographs
β Broad compatibility
β Quality degradation
β Poor for text/logos
β No transparency
Developed: 1996
Purpose: Replacement for GIF (patent issues)
β Lossless compression
Mechanism:
DEFLATE algorithm (LZ77 + Huffman coding)
No data loss
| Feature | PNG |
|---|---|
| Compression | Lossless |
| Transparency | β Yes (alpha channel) |
| Animation | β (APNG variant exists) |
| Scalability | β Raster |
| Best For | UI, logos, screenshots |
β No quality loss
β Excellent transparency
β Ideal for sharp edges
β Larger than JPEG for photos
β Not ideal for complex imagery
Developed: 1987
Key innovation: Animation support
β Lossless compression
Mechanism:
LZW (Lempel-Ziv-Welch)
| Feature | GIF |
|---|---|
| Compression | Lossless |
| Transparency | β Binary only |
| Animation | β Yes |
| Colors | β Limited (256 colors) |
| Best For | Simple animations |
β Animation capability
β Small for simple graphics
β Limited color depth
β Poor for photos
Standardized: 1999
Technology: XML-based vector format
β No traditional compression
Mechanism:
Mathematical vector descriptions
Can be gzip-compressed (SVGZ)
| Feature | SVG |
|---|---|
| Type | Vector |
| Compression | N/A |
| Transparency | β Yes |
| Animation | β Yes |
| Scalability | β Infinite |
| Best For | Logos, icons |
β Resolution independent
β Extremely small for graphics
β Editable text/shapes
β Not ideal for photographs
β Security risks (script injection)
Introduced by Google: 2010
β Lossy + Lossless modes
Mechanism:
Predictive coding
Based on VP8 video codec
β Smaller than JPEG & PNG
β Transparency + Animation
Derived from AV1 codec: 2019+
β Highly efficient lossy/lossless
β Extremely small sizes
β High quality retention
| Format | Compression Type | Size Efficiency | Quality Retention |
|---|---|---|---|
| JPEG | Lossy | β Excellent | β Degrades |
| PNG | Lossless | β Moderate | β Perfect |
| GIF | Lossless | β Small (simple images) | β Limited colors |
| SVG | Vector | β Extremely small | β Perfect |
| WebP | Hybrid | β Better than JPEG/PNG | β Good |
| AVIF | Hybrid | β Best | β Excellent |
β JPEG
β WebP
β AVIF
β PNG
β SVG
β WebP
β GIF
β WebP
β SVG (vector animation)
β SVG
β AVIF
β WebP
File size depends on:
Resolution
Color complexity
Compression level
Image entropy
Example:
β PNG larger for photos
β JPEG smaller for gradients
β SVG tiny for logos
convert image.jpg image.png
| Issue | Cause | Fix |
|---|---|---|
| PNG too large | Photo stored losslessly | Use JPEG/WebP |
| Blurry logo | JPEG used for sharp edges | Use PNG/SVG |
| SVG not rendering | Incorrect MIME type | Set image/svg+xml |
| GIF poor quality | 256-color limitation | Use WebP |
| WebP unsupported | Legacy browser | Provide fallback |
SVG may contain:
Embedded scripts
External references
Mitigation:
β Sanitize SVG files
β Disable inline scripting
Risks:
Malicious metadata
Steganography
Decompression bombs
Mitigation:
β Strip metadata
| Content | Recommended Format |
|---|---|
| Photos | JPEG / WebP / AVIF |
| Logos | SVG / PNG |
| UI Elements | PNG / SVG |
| Animations | WebP / GIF |
β Resize appropriately
β Avoid unnecessary resolution
β Compress intelligently
β WebP β Broad support
β AVIF β Maximum efficiency
Image formats are fundamentally different in:
Compression behavior
Performance impact
Scalability
Quality retention
Correct selection improves:
β Performance
β Storage efficiency
β Rendering quality
β Security posture