OPTIMISING
When something is being optimized in graphics terms, it basically means getting a good image quality balance and a good file size. The target destination when an image is optimized is the final destination that the image is going to on the computer or digital format.
The bit depth of an optimized image is how the colour of the pixels look as stated in a previous blog post. If the pixels are reduced on the optimized image, it will create a poorer looking image but will allow the target destination to be quicker, having more pixels will have a higher quality but slower load time for the image. The image below features 3 different bit depths that are available including 8, 16 and 24. The difference is visible when comparing 8 bit to 24 bit.
https://05049cmur.files.wordpress.com/2011/09/bitdepth_examples_large.jpg
The resolution of an optimized image will change the file size and image quality, although the optimized image has both of these things changed, they will not happen at the same moment. Changing the image quality to a higher quality will allow for a much better quality optimized image but will make a much larger file size. A worse image quality will make the optimized image have a smaller file size which may be preferable depending on how many images are required.
The dimensions of an optimized image is basically the size of the image in question. Changing the dimensions of an image size allows for smaller and larger images to be created depending on the needs of the image and the space available on the optimized image. The image below showcases an optimized image that has a smaller file size and an unoptimized image.
The intended image output helps the optimized image to fit onto the digital programs page that it is on such as a computer screen, phone screen or website page.
The bit depth of an optimized image is how the colour of the pixels look as stated in a previous blog post. If the pixels are reduced on the optimized image, it will create a poorer looking image but will allow the target destination to be quicker, having more pixels will have a higher quality but slower load time for the image. The image below features 3 different bit depths that are available including 8, 16 and 24. The difference is visible when comparing 8 bit to 24 bit.
https://05049cmur.files.wordpress.com/2011/09/bitdepth_examples_large.jpg
The resolution of an optimized image will change the file size and image quality, although the optimized image has both of these things changed, they will not happen at the same moment. Changing the image quality to a higher quality will allow for a much better quality optimized image but will make a much larger file size. A worse image quality will make the optimized image have a smaller file size which may be preferable depending on how many images are required.
The dimensions of an optimized image is basically the size of the image in question. Changing the dimensions of an image size allows for smaller and larger images to be created depending on the needs of the image and the space available on the optimized image. The image below showcases an optimized image that has a smaller file size and an unoptimized image.
The intended image output helps the optimized image to fit onto the digital programs page that it is on such as a computer screen, phone screen or website page.
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