Fainter

Video Demo: https://youtu.be/85A2io1GUWo

Description:

Fainter is a Windows desktop application developed in Python using Tkinter, designed for applying a variety of image filters.

Features:

• User-Friendly Interface
  • Modern design with light and dark themes (https://github.com/rdbende/Forest-ttk-theme)
  • Menu options for file management (Not complete)
• Image Filter Application:
  • Support several built-in filters, including:
    • Box Blur: Smooths the image by averaging the pixel values in a square. Removes noise and creates a soft, blurred effect.
      • Adjustable Parameters:
        • Blur radius (You can separate values and tweek the blur in the x direction and y direction).
    • Gaussian Blur: Applies a weighted average to the pixel values in a neighborhood, with weights determined by a Gaussian distribution. This creates a more natural, smoother blur compared to the box blur.
      • Adjustable Parameters:
        • Blur radius (Separating values is supported here as well).
    • Unsharp Mask: Enhances the details in an image by subtracting a blurred version of the image from the original, resulting in a sharpening effect.
      • Adjustable Parameters:
        • Radius
        • Percent (Intensity)
        • Threshold
    • Custom Kernel Filters: This feature allows users to design their own convolution kernels, enabling a wide range of effects, such as the presets embedded in the app as follows:
      • Presets:
        • Blur
        • Contour
        • Detail
        • Enhance Edges
        • Enhance Edges (More)
        • Emboss
        • Find Edges
        • Sharpen
        • Smooth
        • Smooth (More)
      • Adjustable Parameters:
        • Kernel Size (3x3) or (5x5)
        • Scale (with a switch to disable it)
        • Offset
    • Rank Filters (Min, Median, Max): Sorts the pixel values in a neighborhood and replace the center pixel with a specific value based on its rank in the sorted list.
      • Presets:
        • Min Filter: Replaces the pixel with the smallest value in the neighborhood (Rank = 0). Useful for removing salt noise.
        • Median Filter: Replaces the pixel with the median value in the neighborhood (Rank = size * size / 2). Useful for removing impulse noise.
        • Max Filter: Replaces the pixel with the largest value in the neighborhood (Rank = size * size - 1). Useful for removing pepper noise.
      • Adjustable Parameters:
        • Size
        • Rank
    • Mode Filters: Replaces the pixel with the most frequently occurring value in its neighborhood. Useful for removing small specks of noise while maintaining sharp boundaries.
      • Adjustable Parameters:
        • Radius
  • Filters parameters are adjustable to fine-tune the image effects.
• Dynamic Preview:
  • Real-time preview in the app canvas.
  • Easily revert to the original image.
• Wide Format Support
  • Compatible with most popular image formats: (PNG, BMP, JPEG, JPG, and ICO)
  • Note: Alpha channels are not currently supported.
• Save and Export Options
• exe format release

Dependencies:

• Pillow (PIL): For image processing and filters.
• TKinter: For GUI developement.