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post-processing-sharpen

Post Proccessing | Sharpen

Provides three sharpening modes: Unsharp Mask for basic detail boost, Smart Sharpen with edge protection, and Contrast Adaptive Sharpening (CAS) for balanced clarity.

Avg Run Time: 10.000s

Model Slug: post-processing-sharpen

Category: Image to Image

Input

Enter an URL or choose a file from your computer.

Advanced Controls

Output

Example Result

Preview and download your result.

Preview
Each execution costs $0.001000. With $1 you can run this model about 1000 times.

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

The "post-processing-sharpen" model is an image generator designed to enhance image clarity through advanced sharpening techniques. It offers three distinct sharpening modes: Unsharp Mask for basic detail enhancement, Smart Sharpen with edge protection to minimize artifacts, and Contrast Adaptive Sharpening (CAS) for balanced clarity across varying image regions. The model is engineered to provide flexible sharpening options suitable for a wide range of image types, including photographs, graphics, and generated images.

Developed with a focus on post-processing workflows, this model leverages established image processing algorithms and AI-driven optimization to deliver high-quality results. Its architecture integrates traditional sharpening filters with adaptive AI logic, enabling users to fine-tune sharpening effects according to specific image characteristics and desired outcomes. What sets this model apart is its ability to intelligently protect edges and adapt contrast, reducing common sharpening artifacts while maintaining natural image textures.

Technical Specifications

  • Architecture: Hybrid image processing with AI-driven adaptive sharpening
  • Parameters: Not publicly specified; uses configurable sharpening strength and edge protection levels
  • Resolution: Supports standard image resolutions up to 8K, with optimal performance at 1080p–4K
  • Input/Output formats: Accepts JPEG, PNG, TIFF; outputs in the same formats
  • Performance metrics: Real-time processing for images up to 4K; latency increases with higher resolutions and advanced modes

Key Considerations

  • Select the sharpening mode based on image content: Unsharp Mask for general use, Smart Sharpen for images with fine edges, CAS for balanced clarity in complex scenes
  • Adjust sharpening strength incrementally to avoid over-sharpening and halo artifacts
  • Edge protection settings are crucial for minimizing unwanted noise and preserving natural textures
  • Higher sharpening levels may increase processing time and resource usage
  • For best results, apply sharpening as the final post-processing step after other enhancements
  • Prompt engineering: Use descriptive prompts specifying desired sharpness level and mode for consistent outcomes

Tips & Tricks

  • Start with moderate sharpening strength and gradually increase until optimal clarity is achieved
  • For portraits, use Smart Sharpen with high edge protection to avoid accentuating skin imperfections
  • For landscapes or architectural images, CAS mode provides balanced enhancement without introducing excessive contrast
  • Combine sharpening with subtle denoising for cleaner results, especially in low-light images
  • Use iterative refinement: apply sharpening in small increments and preview results before finalizing
  • Advanced: For images with mixed content, mask specific regions and apply different sharpening modes selectively

Capabilities

  • Provides three sharpening modes tailored for different image types and use cases
  • Delivers high-quality detail enhancement with minimal artifacts
  • Edge protection features reduce halos and preserve fine textures
  • Adaptable to a wide range of images, including photographs, digital art, and generated graphics
  • Real-time processing for standard resolutions; scalable for higher resolutions with increased resources
  • Supports batch processing for efficient workflow integration

What Can I Use It For?

  • Professional photo editing to enhance clarity and detail in commercial photography
  • Restoration of scanned images and archival materials by improving sharpness without damaging originals
  • Creative projects such as digital art, illustrations, and concept designs requiring precise edge definition
  • Business applications including product photography, marketing materials, and e-commerce listings
  • Personal projects like social media image enhancement, travel photography, and family photo restoration
  • Industry-specific uses in medical imaging, scientific visualization, and technical documentation where clarity is critical

Things to Be Aware Of

  • Some users report that aggressive sharpening can introduce halos or noise, especially in low-quality source images
  • CAS mode may slightly alter contrast, which can affect color grading workflows
  • Real-time performance is optimal at 1080p–4K; processing time increases with higher resolutions or batch operations
  • Resource requirements scale with image size and selected sharpening mode; high-resolution images may require substantial GPU or CPU resources
  • Users appreciate the model’s edge protection and adaptive sharpening, noting improved results over traditional filters
  • Common concerns include occasional over-sharpening and the need for careful parameter tuning to avoid unnatural results
  • Positive feedback highlights the model’s versatility and ability to enhance a wide range of image types with minimal manual intervention

Limitations

  • May not perform optimally on extremely low-resolution or heavily compressed images
  • Over-sharpening can lead to visible artifacts if parameters are not carefully managed
  • Not suitable for images requiring strict preservation of original colors and textures without any modification