How does image optimization work on the web?

[mouakter13]

There are a few different elements that make up a standard digital image:

File Type: Different types will provide qualities that may or may not suit your final image. The key is to choose the file type that is most appropriate for the application.
Resolution: You'll often see this expressed as megapixels (MP), but pixels per inch (PPI) or dots per inch (DPI) are also used. Higher resolutions offer higher quality, but also increase the initial file size.
Bit depth: This aspect determines the color information in an image. A low bit depth will represent only a few colors, while a high bit depth could represent millions of colors at once. Generally, the higher the better.
Dimensions: This is the physical space that an image occupies. For example, 1,000 pixels x 500 pixels could define the overall size of an image.
Color space: This is an algorithm that determines how colors are displayed. Each color space is configured differently, and it often comes down to the photographer's preference.
These elements combine to deliver a final image of varying quality. For example, a large, high-resolution, high-bit-depth JPEG photograph will deliver supreme quality and sharpness:

A high quality image.
A high quality image.
Conversely, even a large image capable of displaying many colors can look poor at low resolution:Since image compression is generally the same under the hood, you can apply standard rules to how you optimize images for the web.

We’ve covered many of these concepts elsewhere on the Kinsta blog , but it’s worth doing a quick recap for reference:

Please use a resolution of 72 PPI, as this is the standard for the web. You can israel whatsapp number data use a higher PPI/DPI for archival reasons, but we assume you are publishing on the web.
Set the “long border” of the image to 2048px, as this is optimal for many different applications.
Use 8-bit color depth if you have the option.
Run the image through a compression and optimization tool before publishing.
It's a simple format that can give you consistent results, although compression and optimization is something we'll expand on in the rest of this article.

To do this, let's look at the advantages and disadvantages of lossy versus lossless compression.

How can image compression help your web images?
Generally speaking, “compression” brings the minimum and maximum closer together. For example, compression raises the quietest volume of music and lowers the loudest. This makes the average level louder to the ear.