Implement edge detection and contrast filter.

[ignabelitzky]

Overview:
In order to enhance the visual quality and clarity of ASCII playback of video files within the console, implementing edge detection and contrast filtering algorithms is proposed. This enhancement aims to provide users with a more visually appealing and discernible representation of video content translated into ASCII art.

Feature Details:

1. Edge Detection Algorithm Integration:

• Integrate an edge detection algorithm into the existing ASCII playback functionality.
• Edge detection algorithms such as Sobel, Canny, or Prewitt can be explored for their effectiveness in detecting edges within video frames.
• Detected edges will be represented with ASCII characters to enhance the definition and structure of objects within the video.

2. Contrast Filtering Enhancement:

• Implement contrast filtering to adjust the brightness and contrast levels of video frames.
• Contrast enhancement will help in improving the overall visibility and clarity of ASCII art representation, especially in scenes with varying light conditions.
• Adaptive contrast filtering techniques can be considered to dynamically adjust contrast levels based on the characteristics of each frame.

3. User Configurability:

• Provide users with options to adjust parameters related to edge detection and contrast filtering.
• Parameters such as edge detection threshold, contrast levels, and filtering strength can be exposed through command-line arguments or configuration files.
• Customization options will allow users to fine-tune the visual output according to their preferences and the nature of the video content.

4. Performance Optimization:

• Optimize the implementation of edge detection and contrast filtering algorithms to ensure efficient processing, especially for real-time ASCII playback of video files.
• Utilize parallel processing techniques and hardware acceleration (if available) to improve the performance of the feature, enabling smooth playback even on resource-constrained systems.

Expected Impact:

• The integration of edge detection and contrast filtering will significantly enhance the visual quality and clarity of ASCII playback of MP4 files within the console environment.
• Users will benefit from improved discernibility of objects and scenes, resulting in a more immersive viewing experience while consuming video content in ASCII format.
• The addition of customization options will empower users to tailor the visual output according to their preferences and specific requirements, further enhancing the versatility of the application.

Additional Considerations:

• Collaboration with the open-source community or leveraging existing libraries for edge detection and contrast filtering can expedite the implementation process while ensuring the adoption of proven algorithms and techniques.
• Comprehensive testing across a diverse range of video content and platforms will be essential to validate the effectiveness and robustness of the implemented features under various scenarios and environments.
• Documentation and user guides should be updated to reflect the new functionality, providing users with clear instructions on how to utilize and customize edge detection and contrast filtering during ASCII MP4 playback.