Image Compression

Total no. of data redundancies in a digital image are

• 5

• 4

• 2

• 3

Mapping in an image compression model is used to remove

• Symbol redundancy

• visual redundancy

• spatial redundancy   

• coding redundancy

Quantizer in an image compression model is used to remove

• Symbol redundancy

• Irrelevant Information

• spatial redundancy   

• coding redundancy

Symbol encoder in an image compression model is used to remove

• Symbol redundancy

• Irrelevant Information

• spatial redundancy   

• coding redundancy

A random event E with probability P(E) =1, then information attributed to it I(E) =

• -1

• 1

• 0

Data compression refers to the process of

• reducing the amount of data required to represent a given quantity of information

• reducing the amount of information required to represent a given quantity of data

• increasing the amount of data required to represent a given quantity of information

• increasing the amount of information required to represent a given quantity of data

In variable length coding, image's most probable intensity is assigned with

• codeword of smallest length

• codeword of zero length

• codeword of large length

• None of the above

In variable length coding, image's least probable intensity is assigned with

• codeword of smallest length

• codeword of zero length

• codeword of large length

• None of the above

In an image compression model,_____ transforms the image into a format designed reduce spatial and temporal redundancy.

• Mapper

• quantizer

• Symbol coder

• Inverse mapper

In an image compression model,_____ removes irrelevant information.

• Mapper

• quantizer

• Symbol coder

• Inverse mapper