Transform coding
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Transform coding is a lossy compression technique that converts data like images and videos into an alternate form that is more convenient for compression purposes. It does this through a transformation process followed by coding. The transformation removes redundancy from the data by converting pixels into coefficients, lowering the number of bits needed to store them. For example, an array of 4 pixels requiring 32 bits to store originally might only need 20 bits after transformation. Transform coding is generally used for natural data like audio and images, removes redundancy, lowers bandwidth, and can form images with fewer colors. JPEG is an example of transform coding.
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Transform coding
- 1. TRANSFORM CODING Presented By : Nancy B.C.A. Final
- 2. CONTENTS • What is Transform Coding ? • Why it is needed ? • How it is carried out ? • Features
- 4. TRANSFORMATION Converting a bundle of data into an alternate form, which is more convenient for some purpose.
- 5. CODING Coding means a process which is carried out to get some specific output.
- 6. The purpose of Transformation coding is to convert the data (images/videos) into a form where they could be easily compressed.
- 7. Bits in array of pixels A B C D
- 8. Original Format Pixels Bits used to store them A 8 B 8 C 8 D 8 Total 32
- 9. In Transformation process Transform Inverse Transform X0 = A A = X0 X1 = B - A B = X1 + X0 X2 = C - A C = X2 + X0 X3 = D - A D = X3 + X0
- 10. After Transformation Pixels Bits used to store them A = X0 8 B = X1 + X0 4 C = X2 + X0 4 D = X3 + X0 4 Total 20
- 11. FEATURES • It’s a LOSSY COMPRESSION technique. • Generally used for converting natural data such as audio signals and photographic images. • Removes REDUNDANCY from the data. • Lowers the BANDWIDTH of data. • Forms an image with fewer colors. • JPEG(Joint Photography Experts Group) is an example of Transform Coding.
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