The impact of image size and quality (Distinction Task)
File Format:File format can have differenteffects on the image. A .gif image is a form of lossless compression and can only handle 256 colours so the quality could be a lot worse due to the fact that not all colours are covered and if some colours are used but are not included they won’t show up properly. A .png image preserves the full quality of the image since it is transparent, even when compressed. While it also has the biggest file size over most other formats. The .jpg format uses lossy compression which results in the reduction of file size creating blurry or blotchiness in the image, therefor reducing the overall quality. The bitmap file format, .bmp, is uncompressed which means it keeps a big file size so it will always been in full-on quality with no blurriness etc.
Compression Techniques:Image compression means to lower the size of the file without losing quality, because you want the image to look as good as possible but also at the same time don't want to wait ages for an image to upload or take up valuable space on a storage device.The compression techniques are: Lossless compression and Lossy compression.-Lossy: When compressed, it removes details that won’t be naked to the human eye in the image so when the image is reduced in size from the compression you won’t notice a difference. This is good because it literally keeps the original image but in a smaller size. And also, Lossy compression does not need to retrieve original data.
-Lossless: No data is lost, and all the original data for the image can be retrieved after compression since when the file is opened it decompresses and retrieves how it originally looked., however, this method of compression doesn’t reduce the file size as much as Lossy. Lossless compression has a good use for images on the internet such as .gifs since they are simple graphics. All the quality is kept when the image is compressed in these technique and while also the fact that this is also widely used for graphics it can also be used for text compression with applications such as word documents.


Image Resolution:
Image resolution means the amount of detail that an image can hold, the higher the resolution, the more detail.
Image resolution can affect file size since when you are using higher resolutions, you are using more pixels which ultimately results in more file data needed. You can rasterize an image into a smaller file size but that also means that the image quality won’t be as good. An example of a wide-screen resolution would be 1920x1080. Resolution is measured in DPI which means “Dots per inch.”
Colour Depth:Colour depth means how many colours you are viewing on your monitor and the most common one used is 256 (8 Bit), or the minimum used anyway. 16 Bit colour depth allows over 65,000 colours. Colourdepth affects image size way that so that a higher bit version you are using results in more colours per pixel making the file size very big. The picture below details the different colours per pixel for the different bit sizes.