Explain how the file size of a digital image is affected by resolution and colour depth.
Reduce an image’s file size by lowering its resolution or colour depth (without changing the compression method).
Place, resize, crop, rotate, reflect, adjust brightness/contrast and order images or layers in a document.
Identify appropriate file formats, extensions and the type of compression (lossless vs lossy) for a given purpose.
Understand why optimisation is important for e‑safety and accessibility.
What Determines an Image’s File Size?
Three factors influence the size of an image file:
Resolution – total number of pixels (width × height).
Colour depth – bits required to describe the colour of each pixel.
Compression method – lossless (e.g., PNG) or lossy (e.g., JPEG). This note focuses on the first two because they can be altered without re‑encoding the image.
Resolution
Resolution is written as width × height (e.g., 1920 × 1080). The total pixel count is:
Total pixels = width × height
Reducing the resolution removes pixels, which directly reduces the amount of colour data that must be stored.
Colour Depth (Bit Depth)
Colour depth is the number of bits used for each pixel. Common depths are shown below.
Colour depth
Bits per pixel
Number of colours
Typical use
1‑bit
1
2 (black & white)
Line art, bar‑codes
8‑bit
8
256
GIF graphics, icons
24‑bit
24
16 777 216 (true colour)
Photographs, most JPEG/PNG files
32‑bit
32
24‑bit colour + 8‑bit alpha (transparency)
PNG with transparency†
†Alpha channels are not required for the IGCSE/A‑Level exam; they are shown for completeness.
Pros: Large reduction in file size; faster loading; lower bandwidth use.
Cons: Loss of detail; image may appear pixelated when viewed larger than the new size.
Reducing colour depth
Pros: Very effective for graphics with few colours; retains sharp edges.
Cons: Colour banding; gradients can look posterised.
When to Use Each Method
Image type
Best approach
Reason
Photographs
Keep colour depth (24‑bit); lower resolution if the display size is small.
Preserves smooth colour gradients and fine detail.
Logos, icons, line art
Reduce colour depth (8‑bit or less); keep resolution high for crisp edges.
Limited colours, sharpness is more important than shading.
Web pages / e‑learning material
Balance both – moderate resolution + appropriate colour depth.
Ensures quick page loading while keeping acceptable visual quality.
File Formats, Extensions and Typical Colour Depths
Format
Typical extension
Supported colour depths
Typical use
JPEG
.jpg / .jpeg
24‑bit only
Photographs, complex images (lossy)
PNG‑24
.png
24‑bit (optional 8‑bit alpha)
Web graphics needing transparency (lossless)
PNG‑8 / GIF
.png / .gif
8‑bit (256 colours)
Icons, simple animations, line art (lossless, palette‑based)
BMP / TIFF (uncompressed)
.bmp / .tif / .tiff
1, 8, 24, 32‑bit
Archiving, editing where no compression loss is desired
Compression Methods
Lossless compression – No image data is lost; the original can be perfectly reconstructed (e.g., PNG, GIF, BMP when saved uncompressed).
Lossy compression – Some data is discarded to achieve much smaller files; quality depends on the chosen setting (e.g., JPEG).
Choosing the right method depends on the image type: photographs usually use lossy JPEG, while graphics with flat colours often use lossless PNG‑8 or GIF.
In the Layers panel, drag layers to reorder, or right‑click → Group Layers.
Use Bring to Front / Send to Back for single objects.
Save the file
Choose an appropriate format (see table above).
For JPEG, adjust the quality slider to balance size and visual quality.
For PNG‑8 or GIF, ensure the colour‑depth reduction step has been performed.
Check the new file size (right‑click → Properties). If it is still too large, repeat steps 2–8 with slightly lower values.
e‑Safety & Accessibility Note
Large image files consume more bandwidth, increase loading times and may exceed data limits for users with slow or metered connections.
Optimising images improves page‑load speed, reduces data costs and makes digital content more accessible for learners on mobile devices or low‑bandwidth networks.
Always keep a high‑quality master copy before optimisation, in case the image needs to be re‑used later.
1 MiB = 1 048 576 bytes (use this when converting to megabytes).
Reducing resolution cuts the number of pixels; reducing colour depth cuts the bits per pixel.
Both methods can be combined, but always review the visual quality after each change.
Choose the file format, extension and compression type that best suit the image’s purpose.
Remember the basic editing operations required by the syllabus – place, resize, crop, rotate/reflect, adjust brightness‑contrast, and manage layers.
Suggested diagram: The same picture shown at (a) original resolution & colour depth, (b) reduced resolution, and (c) reduced colour depth – illustrating the trade‑off between file size and visual quality.
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