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发表于 2022-10-25 18:33:04 | 显示全部楼层 |阅读模式
While the size of the image determines the printable or display area of ​​the image, the resolution determines its quality in terms of definition and detail. Image optimization therefore operates on two levels size and quality. Optimizing images means reducing them in terms of size and compressing them in terms of quality, so as not to excessively slow down the loading of the page. However, the optimization must respect the minimum size and quality required by the project, otherwise the images would appear small and grainy. In the optimization process, a balance is sought between image quality and weight. WHY OPTIMIZE IMAGES FOR THE WEB? and every second of waiting for the page to load is too long.

The optimization of the images lightens the photo retouching service weight of the page, improving the user experience and consequently also the positioning in the search engines. In fact, I remind you that Google penalizes sites that are too slow. The images excite and certainly improve the communication of your brand, but you have to find a balance between the quantity and quality of the images to be inserted better few images, but of impact and quality. USE THE APPROPRIATE FORMAT A very important role in the optimization process is played by the image format. Each format is characterized by a different compression of the file, which makes it suitable for certain types of images.



Choosing the correct format allows you to lighten the image even more. The most used formats on the web are gif, jpg, png. Let's see them in detail THE JPG FORMAT The most suitable format for illustrations and photographs, because it allows high compression, while preserving the quality. You can adjust the compression, looking for a balance between image quality and weight. It does not support transparency. THE GIF FORMAT It supports a 256 color scale and transparency. Suitable for images with few shades and tones. It was very popular in the early days of the web, because it was the only format that supported transparency.

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