Question

Briefly describe what happens when a picture undergoes lossy compression.with example

Answers

GPT-4o mini
Lossy compression is a technique used to reduce the file size of images by permanently removing some data that is deemed less important. This process alters the original image, which can lead to a reduction in quality, particularly noticeable in areas of fine detail or subtle color gradients.

### How it works:
1. **Data Removal**: During compression, some of the image's data is discarded. This may involve reducing color depth, combining similar colors, or removing details that are less likely to be noticed by the human eye.
2. **Encoding**: The remaining data is then encoded using algorithms that take advantage of perceptual properties (such as the human eye's sensitivity to changes in brightness but not to color) to further compress the image.

### Example:
A common example of lossy compression is the JPEG format. When a high-resolution photograph is saved as a JPEG, the compression algorithm may:
- Simplify textures by averaging colors in certain areas.
- Reduce the number of colors used.
- Blur less important details, making them harder to discern.

As a result, the file size could be reduced significantly (e.g., from several megabytes to a few hundred kilobytes), but the image may show artifacts like blockiness, banding in gradients, or loss of detail, particularly in high-contrast areas.

Overall, while lossy compression effectively decreases file size, it sacrifices some image quality in the process.