Monday, 4 May 2015

Optimising

Optimising: is changing how an image looks and making it go to the point that it cannot be changed any more, such as changing its bit depth, resolution and dimensions, which allows it to bring out the best quality of an image. 
Target destination: is when moving an image on an image across from one folder to another location someone where else in the computer, this is known as the target destination as it is where the movement will end and be placed into he folder it has been told to be moved to.
Bit depth: is used to describe the number of bits used to determine the colour of a single pixel. The exact colour of a pixel is a blend of the three components of the colour spectrum, RGB (Red, Green, and Blue). The number of bits that are used to represent each pixel determines how many colours or shades of grey will be displayed in the image. For example in 8-bit images, the colour monitor uses 8-bits of information for each pixel; this makes it able to display 2 to 8th power different colours or shade of grey. Allowing it to display 256 colours. There are many bit-depths/colour-depths that can be used for images. These are: 1-bit monochrome, 8-bit grayscale, 8-bit colour (Known as 256-Colour mode), 15 or 16-bit colour (known as high colour), 24-bit colour (known as true colour), 30, 36 or 48-bit colour (known as deep colour). It can be measured by BPP (Bits Per Pixel), the value which indicates how many bits have been used in an image.
Bit depth refers to all of the colour information stored in a single image. The higher the bit depth of an image, allowing it to store more colours. A 1 bit image only shows two colours, black and white. Whereas an 8 bit image can store 256 colours and a 24 bit image can store around 16 million colours. The resolution of an image affects the file size as well as the bit depth drastically affects it as well.
Resolution: is how an image is shown the lower the resolution the harder it is to see the image the higher the better, however one issue with higher resolution is that it can slow down a PC loading time as it has to load more pixels compared to a low quality images which has less pixels to load.
Dimensions: are the height and width of an image, changing the dimensions of an image can cause it to change size such as increasing the dimensions makes it bigger and decreasing them make it smaller. When changing them the amount of pixels stay the same the only thing that happens to them is that they get more space between them.
Intended image output: intended image output is needed as it allows a creator to know what specific dimensions an image has to be set at such as it having to fit a specific webpage, however has to also be a specific size so that I can be downloaded quickly as well.
I was also asked in a task when creating images to optimise the colours in an image i did this by changing specific colours such as increasing the level of green on the image RGB so that the green would change, in this image i used it to change the grass so that it didnt look dead and was able to make it look like fresh grass.

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