What is the primary purpose of image compression algorithms in Python programming?

Is Run-Length Encoding (RLE) a lossless or lossy compression method?

Which factor does NOT directly affect the compression ratio of an image file?

Which compression artifact appears as concentric rings or bands around high contrast edges?

What is one limitation of Run-Length Encoding (RLE)?

Which of the following lossless compression techniques is most commonly used for compressing text-based images?

Which of the following image compression formats uses lossy compression?

Which of the following is a potential drawback of using lossy compression techniques for image compression?

Which type of compression reduces file size by removing image details?

Which of the following is NOT a typical characteristic of lossless compression?

In Python programming, which image compression format is best suited for photographs to balance quality and file size?

What is the primary advantage of Run-Length Encoding (RLE) compared to other compression algorithms?

Which artifact is characterized by visible square blocks around edges in a compressed image?

In Python programming, which image file format supports lossless compression?

Which image compression method is most suitable for compressing simple, text-based images with limited colors in Python?