Image MIME Reference
DDS
DirectDraw Surface
image/vnd.ms-dds
VS
High-Throughput JPEG 2000 Image
image/jph
HTJ2K-(JPH)
A complete technical comparison of DirectDraw Surface and High-Throughput JPEG 2000 Image — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.
Equal browser support
Feature Support
| Feature | DDS | HTJ2K-(JPH) |
|---|---|---|
| Transparency (Alpha) | Yes | Yes |
| Animation Support | ✕ No | ✕ No |
| Progressive Loading | ✕ No | Yes |
| HDR Support | Yes | Yes |
| EXIF Metadata | ✕ No | Yes |
| ICC Color Profile | ✕ No | Yes |
DirectDraw Surface
image/vnd.ms-dds
Extension
.dds
Container
DirectDraw Surface
Compression
Block Compression (BC1-BC7) / DXTC / S3TC / Uncompressed (RGBA, Floating-Point)
Algorithm
DXT1-DXT5BC1-BC7ASTC / ETC2 (Extended)
Color Depth
8-bit, 16-bit, 24-bit, 32-bit (RGBA), 16-bit/32-bit Floating Point (HDR)
Developed by
Microsoft Corporation
Released
1999
Magic Bytes
44 44 53 20
High-Throughput JPEG 2000 Image
image/jph
Extension
.jph
Container
JPH (ISO/IEC 15444-15)
Compression
Lossy / Lossless
Algorithm
High-Throughput JPEG 2000 (HTJ2K)
Color Depth
8-bit, 16-bit, 32-bit, 38-bit
Developed by
Joint Photographic Experts Group (JPEG)
Released
2019
Magic Bytes
00 00 00 0C 6A 50 20 20 0D 0A 87 0A ... 66 74 79 70 6A 70 68 20
Browser Support Comparison
| Browser | DDS | HTJ2K-(JPH) |
|---|---|---|
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✕ | ✕ |
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✕ | ✕ |
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✕ | ✕ |
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|
✕ | ✕ |
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✕ | ✕ |
DDS
DDS Strengths
- Massively reduces VRAM footprint and memory bandwidth usage because the GPU decodes the block compression in hardware
- Encapsulates complex texture arrays, volume textures, cubemaps, and entire mipmap chains within a single, highly structured file
- Supports high-dynamic-range (HDR) floating-point data for modern physically based rendering (PBR)
Limitations
- Block compression algorithms (like DXT) are lossy and can introduce ugly blocky artifacts, especially in smooth gradients or normal maps if not tuned properly
- Files are generally larger on the physical hard drive than highly compressed formats like PNG or WebP
- Zero support in web browsers or standard consumer image viewers
HTJ2K-(JPH)
HTJ2K-(JPH) Strengths
- Delivers orders of magnitude faster encoding and decoding than standard JPEG 2000 by utilizing a new, parallelizable block coder
- Supports mathematically lossless and lossy compression within the same codestream architecture
- Allows for resolution scalability, progressive decoding, and region-of-interest extraction without needing to decode the entire image
Limitations
- Zero native web browser support, requiring specialized libraries, API conversions, or WebAssembly (like OpenJPH.js) for web deployment
- Lack of broad consumer awareness, keeping it confined to professional, medical, and scientific workflows
- Requires more advanced software ecosystems to decode than ubiquitous formats like JPEG or WebP
When to choose which format
DDS
Use DDS when…
- Real-Time 3D Game Textures
- DirectX and Vulkan Rendering Pipelines
- Skyboxes and Environment Cubemaps
- Volume Textures (3D Textures)
HTJ2K-(JPH)
Use HTJ2K-(JPH) when…
- Medical Imaging (DICOM)
- Geospatial Data
- Digital Cinema
- Professional Archiving