GCSE Computer Science Revision

Effects of Colour Depth and Resolution on Images

Understanding the impact of colour depth and resolution on the quality and size of an image is crucial in digital imaging. This guide explains how changes in these two factors affect image quality and file size.

Colour Depth

Colour depth, also known as bit depth, refers to the number of bits used to represent the colour of each pixel. Higher colour depth increases the number of possible colours, leading to higher quality images but also larger file sizes.

  • Impact on Quality: More bits per pixel allow more colours to be represented, resulting in more detailed and vibrant images.
  • Impact on File Size: Increasing colour depth increases the amount of data stored for each pixel, thus increasing the overall file size.

Resolution

Resolution refers to the total number of pixels that make up an image, usually expressed as width x height. Higher resolution means more pixels, leading to clearer and more detailed images.

  • Impact on Quality: Higher resolution enhances the detail and clarity of an image, especially when viewed on larger screens or printed.
  • Impact on File Size: Higher resolution increases the total number of pixels in an image, which increases its file size.

Changing Colour Depth and Resolution

Modifying colour depth or resolution has direct consequences:

  • Increasing Colour Depth or Resolution: Enhances image quality but results in larger file sizes.
  • Decreasing Colour Depth or Resolution: Reduces file size, which can be beneficial for storage and transmission, but may lead to lower image quality, with less colour accuracy and detail.

Practical Considerations

When working with digital images, consider the balance between image quality and file size, especially for web usage or when storage space is a concern.

Exercise

Question: What happens to the file size and quality of an image when the colour depth is increased from 8 bits to 24 bits?

Answer: The file size increases because more data is being stored per pixel. The image quality improves as more colours can be accurately represented, making the image more vibrant and detailed.