What are the main challenges in compression techniques?
The main challenges include loss of data quality, computational complexity, and the need for real-time processing.
Can you explain how loss of data quality affects compression?
Loss of data quality occurs when compression algorithms reduce file size by discarding some data, which can lead to artifacts.
What are some common compression algorithms that face these challenges?
Common algorithms include JPEG for images, MP3 for audio, and H.264 for video, each facing unique challenges.
How do these challenges impact the choice of compression technique?
They influence the selection based on the application needs, such as quality vs. size trade-offs and processing speed.
Are there any emerging solutions to these challenges?
Yes, techniques like machine learning-based compression are being explored to improve efficiency and quality.
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