Image Enhance
Image Enhance upscales and improves your images using AI-powered super-resolution technology. Transform low-quality photos into crisp, detailed images ready for any use case.
5 Enhancement Modes: From super-resolution upscaling to noise reduction and compression artifact removal - choose the right enhancement for your specific image quality issues.
What is Image Enhance?
Image Enhance uses the SwinIR AI model to intelligently upscale and improve image quality. Whether you have a low-resolution product photo or a compressed image with artifacts, AI can restore and enhance it to professional quality.
Key Features
| Feature | Specification |
|---|---|
| Processing Time | 20-40 seconds |
| Enhancement Modes | 5 options |
| Output Format | PNG |
| Credit Cost | 50 credits (fixed) |
| Max File Size | 10MB |
Interface Overview
Two-Column Layout
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ ┌────────────────────────────────┐ ┌────────────────────────────────────┐ │
│ │ │ │ │ │
│ │ Image Upload Area │ │ Enhancement Settings │ │
│ │ │ │ │ │
│ │ ┌──────────────────────────┐ │ │ Task Type │ │
│ │ │ │ │ │ ┌──────────────────────────────┐ │ │
│ │ │ 📁 Drag & drop │ │ │ │ Real-World Image │ │ │
│ │ │ your image │ │ │ │ Super-Resolution-Large ▼ │ │ │
│ │ │ │ │ │ └──────────────────────────────┘ │ │
│ │ │ PNG, JPG, WEBP │ │ │ │ │
│ │ │ Max 10MB │ │ │ ─────────────────────────────── │ │
│ │ │ │ │ │ │ │
│ │ └──────────────────────────┘ │ │ Selected: Super-Resolution-Large │ │
│ │ │ │ Best for product photos and │ │
│ │ │ │ general upscaling needs. │ │
│ │ │ │ │ │
│ │ │ │ ─────────────────────────────── │ │
│ │ │ │ │ │
│ │ │ │ 💰 50 credits │ │
│ │ │ │ │ │
│ │ │ │ [🔍 Enhance Image] │ │
│ │ │ │ │ │
│ └────────────────────────────────┘ └────────────────────────────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Enhancement Modes
5 Task Types
| Mode | Best For | Description |
|---|---|---|
| Real-World Super-Resolution-Large | Product photos | Maximum upscaling for real photos |
| Real-World Super-Resolution-Medium | Balanced quality | Moderate upscaling, faster |
| Grayscale Image Denoising | B&W photos | Removes noise from grayscale images |
| Color Image Denoising | Noisy color photos | Removes noise while preserving color |
| JPEG Compression Artifact Reduction | Compressed images | Removes JPEG artifacts |
Mode Details
Real-World Super-Resolution-Large
Best for:
✅ Product photography
✅ Low-resolution catalog images
✅ Smartphone photos
✅ Scanned images
✅ Maximum quality upscaling
Result: Significantly larger, sharper imageReal-World Super-Resolution-Medium
Best for:
✅ Quick upscaling needs
✅ Moderate quality improvement
✅ Faster processing time
✅ When Large is too aggressive
Result: Balanced upscaling with good qualityGrayscale Image Denoising
Best for:
✅ Black and white photos
✅ Scanned documents
✅ Vintage image restoration
✅ Grayscale product shots
Result: Clean, noise-free grayscale imageColor Image Denoising
Best for:
✅ Noisy smartphone photos
✅ Low-light photography
✅ High-ISO images
✅ Grainy color photos
Result: Smooth, clean color imageJPEG Compression Artifact Reduction
Best for:
✅ Over-compressed JPEGs
✅ Downloaded web images
✅ Multiple-save artifacts
✅ Blocky/pixelated images
Result: Cleaner image without compression artifactsProcessing Flow
Generation Progress
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ 🔍 Enhancing Image │
│ │
│ ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░░░░░░░░░░░░░ 50% │
│ │
│ ✅ Analyzing image quality │
│ ✅ Detecting details and textures │
│ 🔄 Enhancing resolution │
│ ⏳ Sharpening edges │
│ ⏳ Refining colors │
│ ⏳ Applying AI enhancements │
│ ⏳ Finalizing output │
│ ⏳ Almost ready │
│ │
│ "Enhancing resolution..." │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Processing Stages
| Stage | Description |
|---|---|
| Analyzing image quality | AI assesses current quality |
| Detecting details and textures | Identifies enhancement areas |
| Enhancing resolution | Applies super-resolution |
| Sharpening edges | Improves edge definition |
| Refining colors | Optimizes color quality |
| Applying AI enhancements | Final AI processing |
| Finalizing output | Prepares final image |
| Almost ready | Generating output file |
Results
Before/After Comparison
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ ✅ Image Enhanced Successfully! │
│ │
│ ┌─────────────────────────┬─────────────────────────┐ │
│ │ │ │ │
│ │ BEFORE │ AFTER │ │
│ │ │ │ │
│ │ Low-res, blurry │ High-res, sharp │ │
│ │ small details │ clear details │ │
│ │ │ │ │
│ │ ◄─┼─► │ │
│ │ │ │ │
│ └─────────────────────────┴─────────────────────────┘ │
│ │
│ [⬇️ Download PNG] [🔗 Share] [🔄 Try Different] [↩️ Start Over] │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Credit Cost
Fixed Pricing
| Task Type | Cost |
|---|---|
| All modes | 50 credits |
Image Enhance has a simple, fixed cost regardless of which enhancement mode you choose.
Cost Examples
| Scenario | Images | Total Credits |
|---|---|---|
| Product catalog upscale | 20 | 1,000 credits |
| Portfolio enhancement | 50 | 2,500 credits |
| Archive restoration | 100 | 5,000 credits |
Credit Policy
Important: Credits are deducted when generation starts. All credit purchases are final and non-refundable. For platform errors, credits may be restored at ecomVance’s discretion. See Pricing & Credits for full details.
Best Practices
Choosing the Right Mode
| Your Image Problem | Recommended Mode |
|---|---|
| Low resolution | Super-Resolution-Large |
| Slightly low res | Super-Resolution-Medium |
| Noisy B&W photo | Grayscale Denoising |
| Noisy color photo | Color Denoising |
| JPEG artifacts | Compression Artifact Reduction |
Input Quality Tips
| Do ✅ | Don’t ❌ |
|---|---|
| Use original files when possible | Over-compressed sources |
| Higher resolution = better results | Extremely tiny images |
| Good lighting helps | Very dark images |
| Clear subject | Motion blur (can’t fix) |
Realistic Expectations
What AI CAN do:
✅ Upscale resolution significantly
✅ Sharpen soft details
✅ Remove noise and grain
✅ Reduce compression artifacts
✅ Enhance overall clarity
What AI CAN'T do:
❌ Create detail that doesn't exist
❌ Fix severe motion blur
❌ Recover completely black/white areas
❌ Fix out-of-focus images perfectlyUse Cases
E-commerce Product Images
Scenario: Old product photos at 500px
Mode: Super-Resolution-Large
Result: Upscaled to 2000px+ with detail
Use: High-quality product pages
Cost: 50 creditsSocial Media Content
Scenario: Low-res images from phone
Mode: Super-Resolution-Medium
Result: Crisp images for Instagram
Use: Social media posts
Cost: 50 creditsPrint Materials
Scenario: Web images for print catalog
Mode: Super-Resolution-Large
Result: Print-ready resolution
Use: Brochures, catalogs
Cost: 50 creditsImage Archive Restoration
Scenario: Old compressed images
Mode: JPEG Artifact Reduction
Result: Clean, artifact-free images
Use: Refreshed catalog
Cost: 50 creditsTechnical Specifications
AI Model
| Specification | Detail |
|---|---|
| Model | SwinIR (jingyunliang/swinir) |
| Architecture | Swin Transformer |
| Provider | Replicate |
| Processing | Cloud-based |
| Runtime | 60 seconds max |
Output Quality
| Aspect | Quality |
|---|---|
| Upscale Factor | 2x-4x depending on input |
| Detail Preservation | AI-enhanced |
| Color Accuracy | Maintained |
| Output Format | PNG (lossless) |
Mode Comparison
Super-Resolution Modes
| Aspect | Large | Medium |
|---|---|---|
| Upscale Amount | Maximum | Moderate |
| Processing Time | Longer | Faster |
| Best Quality | ✅ | Good |
| Recommended | Most cases | Quick needs |
Denoising Modes
| Aspect | Grayscale | Color |
|---|---|---|
| Image Type | B&W only | Color photos |
| Noise Removal | Excellent | Excellent |
| Color Handling | N/A | Preserved |
| Use Case | Documents, B&W | Noisy photos |
Artifact Reduction
| Aspect | JPEG Mode |
|---|---|
| Target | Compression artifacts |
| Block Removal | ✅ |
| Edge Smoothing | ✅ |
| Detail Recovery | Limited |
Workflow Integration
With Background Removal
Step 1: Image Enhance
→ Upscale low-res product photo
Step 2: Background Removal
→ Remove background from enhanced imageWith Product Placement
Step 1: Image Enhance
→ Improve product image quality
Step 2: Product Placement
→ Place in lifestyle sceneWith Object Removal
Step 1: Object Removal
→ Remove unwanted elements
Step 2: Image Enhance
→ Upscale final resultCommon Questions
Which mode should I use?
Product photos → Super-Resolution-Large
Quick fixes → Super-Resolution-Medium
Noisy photos → Color Image Denoising
Old JPEGs → JPEG Artifact Reduction
B&W scans → Grayscale DenoisingCan I enhance multiple times?
Yes, but diminishing returns apply. One good enhancement is usually better than multiple passes.
Why PNG output only?
PNG preserves maximum quality without compression. You can convert to JPG after if needed.
How much larger will my image be?
Typically 2x-4x depending on the original size and quality. Very small images may see larger increases.
Troubleshooting
Common Issues
Result looks artificial
- Try Super-Resolution-Medium instead
- Original may be too low quality
- Some artifacts are expected with extreme upscaling
Colors look different
- Use Color Denoising for color issues
- Check original color accuracy
- Output is PNG, may display differently
Still seeing noise
- Use dedicated Denoising mode
- Multiple passes may help
- Very heavy noise has limits
Processing taking long
- Large images take longer
- Super-Resolution-Large is most intensive
- Try Medium for faster results
Limitations
What Enhancement Can’t Fix
| Issue | Can Fix? |
|---|---|
| Low resolution | ✅ Yes |
| Noise/grain | ✅ Yes |
| JPEG artifacts | ✅ Yes |
| Motion blur | ❌ No |
| Out of focus | ⚠️ Limited |
| Missing data | ❌ No |
| Heavy corruption | ❌ No |
Start with Quality: Enhancement works best on reasonably good source images. It enhances what’s there - it can’t create what isn’t.
Next Steps
Batch Enhancement Needed? Contact hello@ecomvance.ai for bulk processing options and enterprise pricing.