There are actually 2 green pixels and one red and one blue per 4x4 superpixel. The image is mono and a bayer coordinate layer is saved separately and applied to the raw data to produce colour, by telling us which pixel is which colour. Jpeg is a bitmap with the colour data embedded. The pure pixel data is combined and you can get bleed over between pixels. Jpeg compression simply describes the locations of pixels with similar values. The higher the threshold of similarity the smaller the file size. This is lossy compression. That's why jpeg is used in displays being faster and more efficient as less pixel values are being used. Tgats why there's a restricted number grey levels. There are in fact lossless compression algorithms too, but the gist of it is that jpegs can't save as much data.
Thanks for encouraging the use of raw. I like the way denoise software has improved and it only works on raw. I just need an external ss drive like you are saying... good video.
Very good explanation on RAW and JPEG. Thanks.
Glad you enjoyed it!
There are actually 2 green pixels and one red and one blue per 4x4 superpixel. The image is mono and a bayer coordinate layer is saved separately and applied to the raw data to produce colour, by telling us which pixel is which colour. Jpeg is a bitmap with the colour data embedded. The pure pixel data is combined and you can get bleed over between pixels. Jpeg compression simply describes the locations of pixels with similar values. The higher the threshold of similarity the smaller the file size. This is lossy compression. That's why jpeg is used in displays being faster and more efficient as less pixel values are being used. Tgats why there's a restricted number grey levels. There are in fact lossless compression algorithms too, but the gist of it is that jpegs can't save as much data.
Thanks for encouraging the use of raw. I like the way denoise software has improved and it only works on raw. I just need an external ss drive like you are saying... good video.
Thanks for sharing!