Discuss the impact that file format, compression techniques, image resolution and colour depth have on file size and image quality.

Joint Photographic Experts Group

JPEG which is a raster record, which remains for Joint Photographic Experts Group arrange, that is an organization that is likewise broadly utilized online on sites and on other diverse online servers in view of its similarity, size and nature of picture. JPEG position bolsters CMYK, RGB, and Grayscale shading modes so the nature of the picture is superior to anything some other record designs as they don't all bolster CMYK. This record position does not take up a great deal of space and still has a decent quality picture. As this picture is broadly utilized it can be opened with any picture programming so this can be exceptionally valuable so you won't require extraordinary programming to alter the picture or view it because of its document position. The weakness is that when you amplify the picture the quality will intensify so you might not have any desire to augment it as pixilation may happen.

Tagged Image File Format

Tagged Image File Format (TIFF, TIF) is an adaptable bitmap picture design that is supported by lots of programming applications so this is extremely helpful with regards to editing or viewing the image. It is additionally an exceptionally helpful document design as all desktop scanners can create TIFF pictures. TIFF designed documents must be dependent upon 4GB space, the product application Adobe Photoshop CS CS2 CS3 do support with format and allow you to open them using the software application but software before CS did not allow you to open up files that are less than 2GB in size. TIFF format supports CMYK, RGB, Lab, Indexed Color, and Grayscale images with alpha channels and Bitmap mode images without alpha channels. TIFF image files have a bit depth of 8, 16, or 32 bits per channel.

Compression techniques

There are two techniques of compressing a file to make it smaller and they are Lossy and Lossless and I am going to talk about both of them as see how they affect the image in anyway.

The first compression technique I am going to talk about is Lossy, this is a technique that effects the quality of the image, when you compress an image using Lossy is worsens the quality of the image because when it compresses the image it loses some of the image data, so when the data is lost part of the image is lost so pixilation occurs and you may see the image turns into loads of very small squares that form the image. However Lossy does do the job of compressing the file as when it is compressed it will be considerably smaller than it was beforehand.

The second technique is Lossless compression; this is a technique that is better than Lossy as is does not worsen the image quality when compressed. Lossless also does the job as it compresses the file and makes it smaller and the image will take up less space on the hard drive and will also make it easier for it to be uploaded to a webpage.

Image quality and resolution

The resolution of an image is decided by the number points that make up the image, that can be depending on the pixels in that specific image on a monitor screen, or the number of dots that make up a printed image so the more points that are used to create an image, the better the quality and detail of the image.

When it comes to the different file formats it is pretty clear that the larger the image file the better the quality of the image and the if the image file size is small the quality is bound to be worse too, so overall the resolution is directly linked to the image size. It is a disadvantage that an image in large in size as it will take up a lot of space on your hard drive however it might be very important to have a good quality image so it won’t matter it takes up a lot of space, for example you might want an image on a poster or magazine and it is important to have a good quality image as if it is not good quality it might not attract the attention of other people.

Colour depth

Colour depth is a way to describe the maximum amount of colour used in an image, so the more colours in the image the more detail the image will look. The colour depth affects the final size of the image, as is resolution. There are many different colour depths such as, monochrome, which is the simplest colour depth as all we need to know is whether the pixel is on or off e.g. black and white image. Here are the different colour depths:

16 Bit Colour – this format uses two Bytes to store the information, one Byte for the colour and one Byte for the shade of the colour. So 65,536 colours (256×256).

24 Bit Colour – This format stores the Red, Green and Blue for each pixel. So 256 values for each colour so giving a total of 16,777,216 colours (256x256x256). Having 16 million colours allows the quality of the image to be realistic and good quality however as the colour depth is higher and there are more colours that means that the storage space will also be higher

32 Bit Colour (True Colour) – This colour depth is known as “True Colour”, this format uses the same format as above for the Red, Green and Blue colours but also stores transparency information for each pixel. So it allows each of the 256 pixels to be fully opaque to fully transparent which is very important when it comes to having a good quality image, however it does mean the image size will be even larger.

So colour depth is very important in regards to having a good quality image and it also effects the size of the image, the better the colour depth the larger the size of the file but it does mean that the image will consist of more detailed colours so a more realistic image.

Overall, it is evident that there are some document formats that are obviously superior to anything other record formats and it is clear some are better for various uses for instance the use of pictures on Web Pages. Different file formats have their own particular attributes, for example, document size, file compatibility, picture quality and so forth. Compression techniques can likewise be exceptionally valuable to know as you can make as you can make the size of an image smaller, however it is very important to know which technique affects the quality of the image and which one doesn’t. When it comes to image resolution and colour depth, it is also important to known the affect changing it has on the image. If you increase the resolution, the size of the file will also increase but it will make the quality of the image better but if you make the resolution less the image quality will be worse but size of the file will be lower. It is similar with colour depth, the better the colour depth the better the quality but higher the size. Generally, I think it is critical to know the final effect of changing a picture in any capacity.