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Fundamentals Rawesak Tanawongsuwan [email protected]
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Fundamentals

Feb 23, 2016

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Fundamentals. Rawesak Tanawongsuwan [email protected]. Digital Data. Bits are units of data that can only have one of two values. A byte is eight bits. Groups of bits can be interpreted as numbers to base 2, but can also be treated as characters, colours , etc. Bytes to remember. - PowerPoint PPT Presentation
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Page 1: Fundamentals

Fundamentals

Rawesak [email protected]

Page 2: Fundamentals

Digital Data

• Bits are units of data that can only have one of two values.

• A byte is eight bits.• Groups of bits can be interpreted as numbers

to base 2, but can also be treated as characters, colours, etc.

Page 3: Fundamentals

Bytes to remember

• 1 byte = 8 bits• 2 bytes = 16 bits• 3 bytes = 24 bits• 4 bytes = 32 bits• .• .• .

Page 4: Fundamentals

Analogue and Digital Representation

Page 5: Fundamentals

Digitization

• Converting a signal from analogue to digital form– Analogue signal can vary continuously, digital is

restricted to discrete values• Two-stage process– Sampling – measure the value at discrete intervals– Quantization – restrict the value to a fixed set of

quantization levels

Page 6: Fundamentals

Sampling and Quantization

Page 7: Fundamentals

Sampling and Quantization

• The sampling rate is the number of samples in a fixed amount of time or space.

• The quantization levels are the set of values to which a signal is quantized.

Page 8: Fundamentals

Analogue vs Digital

Page 9: Fundamentals

Benefits of digital signals

• High fidelity• Noise tolerance

Page 10: Fundamentals

Frequency Domain

• Any periodic waveform can be decomposed into a collection of frequency components– Each one is a pure sine wave

• The collection of frequencies and their amplitudes represent the waveform in the frequency domain– Compute the frequency domain representation

(frequency spectrum) using the Fourier Transform– Higher frequency components are associated with

abrupt transitions

Page 11: Fundamentals

Spatial and temporal signals

• Spatial and temporal signals are made up of pure sine wave components at different frequencies.

• The Fourier Transform operation can be used to compute a signal’s representation in the frequency domain.

• Higher-frequency components are associated with abrupt transitions.

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Sampling Theorem

• If the highest frequency component of a signal is at fh the signal can be properly reconstructed if it has been sampled at a frequency > 2fh– Nyquist rate

• Undersamping leads to aliasing– Sound distortion, image 'jaggies' or Moiré

patterns, jerky or retrograde motion

Page 14: Fundamentals

Aliasing

Anti-aliased

Aliased

Page 15: Fundamentals

Aliasing

Page 16: Fundamentals

Moiré Patterns

Page 17: Fundamentals

Too Few Quantization Levels

• Reducing memory requirements by using fewer bits for each value means fewer quantization levels are available

• Cannot distinguish between values that fall between levels

• Images: banding and posterization• Sound: coarse hiss, loss of quiet passages,

general fuzziness (quantization noise)

Page 18: Fundamentals

Image banding effects

Page 19: Fundamentals

Posterization

Page 20: Fundamentals

Digital Representation of Media

• There are established ways of representing images, video, animation, sound and text in bits.

• Media data may be represented as a textual description in a suitable language, or as binary data with a specific structural form.

Page 21: Fundamentals

Image

• Images are displayed as arrays of pixels and represented using an internal model. Generating the pixels from the model is called rendering.

Page 22: Fundamentals

Bitmaps vs Vector Graphics

• Images may be modelled as bitmaps or vector graphics.

• A bitmap is an array of logical pixels (stored colour values) that can be mapped directly to the physical pixels on the display.

• In vector graphics, the image is stored as a mathematical description of a collection of individual lines, curves and shapes making up the image, which requires computation to render it.

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Good Things for Vector Graphics

• Often smaller than bitmaps• Resolution-independent• Scalable without loss of quality – only suitable for certain sorts of synthetic image,

not photographs

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Combining Vectors & Bitmaps

• Rasterize vectors– Lose all their vector properties

• Trace bitmaps– Difficult and can only produce an approximation

(parameterized)

Page 30: Fundamentals

Layers• Organizational device used in both sorts of

graphics, especially useful in bitmaps– Permits separation and manipulation of different

parts of a bitmapped image• Digital version of clear sheets of acetate,

stacked on top of each other– Areas without coloured pixels/graphic objects are

transparent so lower layers show through• Compositing – combine layers using different

blending modes (digital collage)

Page 31: Fundamentals

Creatively Blending Layers

http://www.carlvolk.com/photoshop15.htm

Page 32: Fundamentals

Creatively Blending Layers

http://www.carlvolk.com/photoshop15.htm

Page 33: Fundamentals

Graphics/Image Data Types

Page 34: Fundamentals

RGB Components

Page 35: Fundamentals

Moving pictures, Videos, Animation

• Moving pictures can be created as live-action or animation.

• Live-action must be stored as video.• Animation may be represented in other more

flexible or efficient ways.• Video frames require a lot of storage so video

is invariably compressed for delivery.

Page 36: Fundamentals
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Sound

• Sound can be represented as a sequence of samples after digitization.

• CD audio is sampled at 44.1 kHz, higher sampling rates are sometimes used.

• Audio delivered over the Internet is compressed, often using the MP3 codec.

Page 38: Fundamentals

Text

• A character set is a mapping from characters to character codes.

• Unicode is a character set capable of representing text in all known languages.

• A font is a set of character shapes, called glyphs.

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Layout and Typography

• Many aspects of layout must be controlled when text is displayed.

Page 41: Fundamentals

Interactivity

• Interactivity is produced by executing a program in response to user input.

• In multimedia, programs are often written in a scripting language, such as JavaScript or ActionScript.

Page 42: Fundamentals

Compression

• Compression must often be applied to media data.

• Compression may be lossless or lossy.– Lossless – image can be reconstructed exactly

from compressed version– Lossy – some information discarded, image can

only be reconstructed approximately

Page 43: Fundamentals
Page 44: Fundamentals

Compression

• Different compression algorithms are applicable to different types of media data. Their effectiveness depends on the characteristics of the data itself.