{"id":821,"date":"2022-01-25T07:37:52","date_gmt":"2022-01-25T07:37:52","guid":{"rendered":"http:\/\/learnlearn.uk\/igcsecs\/?page_id=821"},"modified":"2022-01-25T07:38:26","modified_gmt":"2022-01-25T07:38:26","slug":"grayscale-image-representation-binary","status":"publish","type":"page","link":"https:\/\/learnlearn.uk\/igcsecs\/grayscale-image-representation-binary\/","title":{"rendered":"Grayscale Image Representation in Binary"},"content":{"rendered":"
\n

Starter<\/h2>\n
\n\n

Starter<\/h3>\n

Practice your binary conversion skills using this great game!<\/p>\nCode.org binary game<\/a>\n\n<\/div>

Grayscale Images<\/h2>\n
\n\n

Grayscale Images<\/h3>\n

The images we have been looking at so far have been very simple, pure black and white images, but when we think of black and white images, we aren’t usually thinking of just black and white, we are thinking of images that contain lots of grays. These are known as grayscale<\/strong> images.<\/p>\n

\n

\"tree-pciture-grayscale\"<\/p>\n

Here is a grey-scale image of a tree<\/p>\n<\/div>\n

\n

\"bw-image-tree\"<\/p>\n

Here is the same grey-scale image, converted to pure black and white.<\/p>\n<\/div>\n

How do grayscale images work?<\/strong><\/h3>\n

\"gray_scale\"<\/p>\n

White (255) \u00a0 \u00a0 —> \u00a0 \u00a0 Black (0)<\/p>\n

Source : Wikipedia<\/a><\/p>\n

With pure black and white images converting them to binary is easy, we just use either a 1 or a 0, but greyscale images are more complicated.<\/p>\n

Gray-scale images use a number between 0 (black) and 255(white) for each pixel. This means that instead of just using one bit (0) for each pixel, we have to use 8 bits (e.g. 10100010) instead.<\/p>\n

This means that grayscale images are 8 times larger than pure black and white.<\/p>\n