Good digital cameras like the Canon D60 will expose several million individual pixels every time the shutter is released. Also, current state-of-the-art in digital cameras only “see†in shades of black and white. So the sensors have colored filters to decode intensity for each of the primary colors. Typically three or four color filters are used. By capturing each color’s intensity, color images can be reproduced on screens or in print. So resolution basically is the combination of the total sensor pixels plus the dynamic range for each color. Since we are talking digital here, the number of intensity levels is expressed in “bitsâ€. More bits mean more color levels. For example, 8 bits will permit 256 different levels of intensity. Remember at least three color filters are required to properly reconstruct the image. Simple example; let’s say we have a 3 million pixel sensor with three filters (1 million red, 1 million green, 1 million blue). Now add 10 bits of intensity level for each color. 3 million X 10 = 30 million “bits†for each shot. In this example each image is about 4 megabytes in size! A little large for a 3 mega pixel camera!
To overcome image size issues with good quality digital cameras, several different compression algorithms are used to reduce the image size before uploading into the computer. There are two basic types of compression algorithms; 1) Lossless compression and 2) Lossy compression. Lossless compression means none of the original image parameters are lost. Lossy compression means some data and data parameters are lost and cannot be recovered. However, these lossy compression algorithms permit much higher compression with much smaller image files. Canon uses two compression algorithms 1) Lossy compression is accomplished with JPEG (Joint Photographic Experts Group) algorithm. JPEG allows compression with a lot of image quality flexibly. Lower quality means smaller file size by using more aggressive compression. Again, there is no going back! Lossless compression in Canon cameras is accomplished with “RAW†files. These files are not really “rawâ€, they are compressed, but the algorithm will retain all image data including parameters like contrast levels, white balance, and so on. Raw files give you the flexibility to change the white balance as many times as you want after the picture is taken. I use this feature a lot. When I take studio photos with artificial lighting, white balance is accomplished in the computer. I never worry about the color temperature of the lighting being used for the shot.
Certain brightness levels, color balance, and other parameters can be accomplished with JPEG files and good photo software like Photoshop. But, these adjustments are no where near as flexible as with RAW images. Problems with RAW images; 1) size, 2) they must be converted to a “standard†file format like JPEG or TIFF before other applications such as Photoshop can use them.
Hope this helps! … Dan