# data[].attributes.body
Corel Painter
Adobe Photoshop
Adobe Fireworks
Corel Paint Shop Pro

# data[].attributes.body
Each pixel has its own fill.

# data[].attributes.body
Bitmap images tend to be one of the largest image files as pixels for a bitmap image are defined individually, and appear irrespective of any other pixel.

# data[].attributes.body
Individual elements cannot be grouped.

# data[].attributes.body
Bitmap images are made up of individual pixels, and because each pixel is saved separately, file sizes are much larger than a vector image.
Also, because the pixels are saved separately, when making the image larger, the pixel just gets bigger as the image only knows that the pixel is that colour, and doesn't know how to recreate the image like a vector graphic. Which instead saves an equation to form the image rather than the use of pixels, thus when you resize the bitmap image the picture looses quality.

# data[].attributes.headline
BITMAP - Give some bitmap formats and explain what they are suitable for:

# data[].attributes.subject
BITMAP - Give some bitmap formats and explain what they are suitable for:

# data[].attributes.body
Examples of Bitmap formats include: .bmp, this is the native bitmap file. .dib, .jpeg, .png, .gif, .tiff.
Bitmap images are made up of different colour pixels, it has a much larger file size than vector graphics. when resized, because bitmaps store each individual pixel, it generally has a massive loss of quality when resized.
Bitmap images look real because each pixel makes up a colour, and is the file format that a camera uses.

# data[].attributes.body
Yes, when there is no colour the space is transparent

# data[].attributes.headline
Vector - Find examples of drawing packages

# data[].attributes.subject
Vector - Find examples of drawing packages

# data[].attributes.body
CorelDRAW
InkScape
SerifDraw Plus
Adobe Flash

# data[].attributes.headline
vector-do they have separate outline and fill?

# data[].attributes.subject
vector-do they have separate outline and fill?

# data[].attributes.body
Each vector has its separate outline and fill unless they have been grouped in which case they share the same outline and fill until un-grouped.

# data[].attributes.body
Because vector images are made up of shapes rather than pixels this means that they are generally used for cartoons and digital graphics because they are made up of basic shapes that are usually a solid colour. whereas a photo from your camera would have to be bitmap because the photo isn't made up of shapes and there are so many different colours.

# data[].attributes.body
Vectors are made from a list of pixels which are defined as different colors. This is one of the reasons they tend to be quite large files, and each pixel color can be edited individually.

# data[].attributes.headline
Vector - Quality on enlagrment and reduction

# data[].attributes.subject
Vector - Quality on enlagrment and reduction

# data[].attributes.body
On enlargement or reduction of a vector image, they tend to loose quality quite quickly. This is down to the fact that the pixels are estimated when enlarged or reduced, which means they may not appear perfectly as they are approximations.

# data[].attributes.body
Vector files tend to be large in size but smaller than bitmap images, because they tend to be grouped as objects.

# data[].attributes.body
Vectors can be grouped while keeping their relative size, relative position, fill, and stroke.

# data[].attributes.body
Vector graphics are made up of objects rather than each individual pixel. This dramatically decreases the file size because it only saves coordinates on how to recreate the shape, and thus can be easily be resized as it saves the shape and not the pixels, it can recreate the shape without the loss of quality.

Vectors are made from a list of pixels which are defined as different colors. This is one of the reasons they tend to be quite large files, and each pixel color can be edited individually.

# data[].attributes.headline
What type of files
would be compressed using lossless compression? Why?

# data[].attributes.subject
What type of files
would be compressed using lossless compression? Why?

# data[].attributes.body
Lossless can be used on any general-purpose compression algorithm (general-purpose means that they can handle all binary input) on any type of data.

# data[].attributes.headline
Find a diagram that shows how lossless compression works.

# data[].attributes.subject
Find a diagram that shows how lossless compression works.

# data[].attributes.headline
What type of files would be compressed using lossy compression? Why?

# data[].attributes.subject
What type of files would be compressed using lossy compression? Why?

# data[].attributes.body
Lossy compression is most commonly used on multimedia files, such as audio, images or video, especially in examples of streaming where in which the file has to be sent in rapid succession. These types of multimedia files are compressed for a variety of different reasons, one of which being that it can be sent over a network much faster in cases where the file size is much smaller.

# data[].attributes.headline
Is lossy compression reversible? Explain

# data[].attributes.subject
Is lossy compression reversible? Explain

# data[].attributes.body
Lossy compression is not reversible, as during compression some content from the multimedia file tends to be discarded in place of a more approximate and broad interpretation of the image. For example, in a simple case during compression patterns of similarly colored pixels are recognized, so a block of nearly identical blue pixels will be merged into a single block, saying they are all one type of blue. This method is used, as in many cases the file can be cut down drastically, with not too much quality loss.

# data[].attributes.headline
What is lossy compression? How does it work?

# data[].attributes.subject
What is lossy compression? How does it work?

# data[].attributes.body
Lossy compression, also known as irreversible compression, uses approximate interpretations, and some partial discarding of an image to represent the same multimedia file. For example, in high compression examples images become particularly blurred as parts of the images are distorted through the discarding of image data.

# data[].attributes.body
Lossless  is allows the original data to be perfectly reconstructed, this is because of the class of data compression algorithms: one which generates a statistical model for the input data, and another which maps the input data to bit strings using this model in such a way that "probable" data will produce shorter output than "improbable" data.

# data[].attributes.headline
Give some examples of file formats that use lossless compression.

# data[].attributes.subject
Give some examples of file formats that use lossless compression.

# data[].attributes.body
Image: RAW, BMP, and PNG are all lossless image formats. JPEGand GIF are lossy image formats.

Audio: WAV, FLAC, and ALAC (Apple Lossless Audio Codec, used by iTunes) are all lossless audio formats. MP3, MP4, and OGG are lossy audio