Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Improve image quality by enhancing resolution, sharpness, and clarity. Perfect for screenshots, documentation, presentations, and social media images.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Undeveloped: Use images as-is; blurry screenshots posted directly.
Target: Enhance resolution, sharpen details, reduce noise; optimize for use case.
Optimized: Automatic quality detection, ML-based upscaling, batch processing, use-case optimization (web vs. print vs. social).
Image quality reflects professionalism. Poor screenshots, blurry photos, or compressed artifacts undermine content. Enhancement improves clarity, readability, and visual impact with minimal manual effort.
Assess current image state:
## Image Analysis: screenshot.png
**Current Specs**:
- Resolution: 1920x1080 (native)
- Format: PNG
- File Size: 3.2 MB
- Color Depth: 24-bit
- Compression: Moderate
**Quality Assessment**:
- ✓ Good resolution for web
- ⚠️ Slight blur in text areas
- ⚠️ Some compression artifacts in gradients
- ✓ Colors well-saturated
**Recommendations**:
1. Sharpen text edges
2. Reduce gradient banding artifacts
3. Upscale to 2560x1440 for retina displays
4. Optimize file size for web delivery
Select based on use case:
| Use Case | Strategy | Output Resolution | Format |
|---|---|---|---|
| Web display | Sharpen + optimize | 1920-2560 | PNG/WebP |
| Retina display | Upscale + sharpen | 2x native (2560x1440) | PNG |
| Print (300dpi) | Upscale + detail enhance | High DPI | PNG/TIFF |
| Social media | Optimize + compress | 1200-1600 | JPG (optimized) |
| Documentation | Sharpen + artifact reduce | Native + 20% | PNG |
Upscale intelligently:
# Option 1: 1.5x upscaling (minimal quality loss)
upscale --input original.png --output upscaled.png --factor 1.5
# Option 2: 2x upscaling (retina)
upscale --input original.png --output upscaled.png --factor 2
# Using AI/ML upscaling (preserves detail)
# Better than bicubic interpolation
Output comparison:
## Resolution Enhancement
**Original**: 1920x1080 (1 MB)
**After 1.5x Upscale**: 2880x1620 (2.1 MB)
**After 2x Upscale**: 3840x2160 (4K, 4.2 MB)
**Recommendation**: 1.5x for web, 2x for retina/print
Sharpen edges without over-processing:
# Apply unsharp mask (standard sharpening)
sharpen --input upscaled.png --output sharpened.png \
--radius 0.5 --amount 1.0 --threshold 0
# Adaptive sharpening (preserves smooth areas)
sharpen --input upscaled.png --output sharpened.png \
--method adaptive --strength medium
Before/after:
## Sharpness Enhancement
**Before**: Blurry text, soft edges
**After Sharpening**: Crisp text, defined boundaries
**Settings Applied**:
- Unsharp mask radius: 0.5
- Strength: 1.0x
- Preservation: Smooth gradients protected
**Result**: Text highly readable, no over-sharpening artifacts
Clean up JPEG compression artifacts:
# Reduce banding and block artifacts
denoise --input original.jpg --output denoised.jpg \
--method nlm --strength 0.7 # Non-local means
# Alternative: bilateral filter (preserves edges)
bilateral --input original.jpg --output cleaned.jpg \
--sigma-spatial 2 --sigma-intensity 20
Results:
## Artifact Reduction
**Common Artifacts Found**:
- JPEG blocking (8x8 block boundaries)
- Color banding in gradients
- Chroma subsampling halos
**After Denoising**:
✓ Blocks smoothed
✓ Banding reduced
✓ Colors blended naturally
✗ Minimal detail loss
Optimize file size and format:
For Web:
# PNG for lossless (screenshots, text)
convert input.png -strip -interlace Plane \
-quality 95 output.png
# WebP for better compression
cwebp -q 80 input.png -o output.webp
For Print:
# TIFF with 300 DPI
convert input.png -density 300x300 -format tiff output.tif
For Social Media:
# Optimize JPG for fast loading
jpegoptim --max=85 --strip-all input.jpg
# Result: 1200-1600px width, <200KB
Delivery optimization:
## Format Comparison
| Format | Size | Quality | Use |
|--------|------|---------|-----|
| PNG (native) | 3.2 MB | Lossless | Web, documentation |
| PNG (optimized) | 1.8 MB | Lossless | Balance of size/quality |
| WebP | 1.2 MB | 80% quality | Modern web (95% browser support) |
| JPG (80%) | 0.9 MB | 80% quality | Social media |
| TIFF (300dpi) | 8.1 MB | Lossless | Print |
**Recommended**: WebP for web (best compression)
**Fallback**: PNG for universal compatibility
Enhance entire folder:
#!/bin/bash
# enhance-images.sh
INPUT_DIR="${1:-.}"
OUTPUT_DIR="${INPUT_DIR}/enhanced"
SCALE_FACTOR="${2:-1.5}"
mkdir -p "$OUTPUT_DIR"
for img in "$INPUT_DIR"/*.{png,jpg,jpeg}; do
if [ -f "$img" ]; then
filename=$(basename "$img")
echo "Processing $filename..."
# Upscale + sharpen + optimize
convert "$img" \
-scale $(($(identify -format %w "$img") * SCALE_FACTOR / 100))x \
\( +clone -blur 0x0.5 \) \
-compose Difference -composite \
+compose \
-compose Multiply -composite \
"$OUTPUT_DIR/enhanced-$filename"
echo "✓ Saved to $OUTPUT_DIR/enhanced-$filename"
fi
done
Run:
chmod +x enhance-images.sh
./enhance-images.sh ~/screenshots 150 # 1.5x upscale
Verify enhancements:
## QA Checklist
**Visual Quality**:
- [ ] Text is crisp and readable
- [ ] No excessive sharpening artifacts
- [ ] Colors accurate (not oversaturated)
- [ ] Smooth gradients (no banding)
- [ ] Edges clean (no halos)
**File Size**:
- [ ] Web images <2MB
- [ ] Social media <300KB
- [ ] Print-ready at 300 DPI
**Format Appropriateness**:
- [ ] PNG for graphics/screenshots
- [ ] JPG for photographs
- [ ] WebP for modern web
- [ ] TIFF for print
**Before/After**:
- [ ] Original preserved with -original suffix
- [ ] Enhanced version shows clear improvement
- [ ] No significant quality loss compared to original
| Issue | Solution |
|---|---|
| Blurry text | Sharpen with unsharp mask, increase radius |
| Low resolution | Upscale 1.5-2x with AI/ML method |
| Compression artifacts | Denoise with NLM or bilateral filter |
| Color banding | Apply noise dithering or gradient smoothing |
| Large file size | Convert to WebP, reduce DPI to 72 for web |
| Pixelated edges | Gentle blur + sharpen combination |
Deliver:
まだレビューはありません。使ってみた感想をお寄せください。
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