The resolution of vector images is often dictated by mathematical equations. Vector-based data is often made up of various lines, shapes, and curves. This explains why they are a preferred option when it comes to web applications. While on the one hand, it's a downside, on the other hand, the pixel-based structure of a rasterized image is also an advantage as it can be scaled down to fit applications that require small-detailed images. Thus, if space is an issue for you, it would be wise to downsize. You will, nonetheless, need a bigger disk as more pixels in an image mean that it'll use more disk space. Therefore, to ensure your raster-based images are of the best quality possible, use more pixels. Thus, the more pixels present per inch(PPI), the better the resolution and vice versa. The resolution of a raster image is however dictated by the number of pixels in every inch. When you zoom in or enlarge, you're practically forcing your device to create non-existent pixels, hence the pixelation. While raster graphics are popular, it's vital to note that due to their pixel-based structure, they tend to be grainy or blurry when resized or enlarged. Some of the most common raster formats include: In most cases, these pixels are square-shaped, regularly spaced, and each one carries a specific shade, which contributes to the vivid and detailed appearance of the image. Also known as a bitmap, a raster image is a graphic made up of thousands or even millions of colored dots known as pixels. If you use the internet every day, then you encounter raster graphics daily.
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