NVS PGT CS 2017 Part-B
February 4, 2025NTA UGC NET JUNE-2023 Paper-2
February 6, 2025Image-Processing
| Question 12 |
Which of the following is not used in standard JPEG image compression?
| Huffman coding | |
| Run length encoding | |
| Zig-zag scan | |
| K-L Transform |
Question 12 Explanation:
→ Huffman coding, Run length encoding and ZIg-zag scan is used to compress the image.
→ K-L Transform is a representation of a stochastic process as an infinite linear combination of orthogonal functions, analogous to a Fourier series representation of a function on a bounded interval. The transformation is also known as Hotelling transform and eigenvector transform, and is closely related to principal component analysis (PCA) technique widely used in image processing and in data analysis in many fields.
→ K-L Transform is a representation of a stochastic process as an infinite linear combination of orthogonal functions, analogous to a Fourier series representation of a function on a bounded interval. The transformation is also known as Hotelling transform and eigenvector transform, and is closely related to principal component analysis (PCA) technique widely used in image processing and in data analysis in many fields.
Correct Answer: D
Question 12 Explanation:
→ Huffman coding, Run length encoding and ZIg-zag scan is used to compress the image.
→ K-L Transform is a representation of a stochastic process as an infinite linear combination of orthogonal functions, analogous to a Fourier series representation of a function on a bounded interval. The transformation is also known as Hotelling transform and eigenvector transform, and is closely related to principal component analysis (PCA) technique widely used in image processing and in data analysis in many fields.
→ K-L Transform is a representation of a stochastic process as an infinite linear combination of orthogonal functions, analogous to a Fourier series representation of a function on a bounded interval. The transformation is also known as Hotelling transform and eigenvector transform, and is closely related to principal component analysis (PCA) technique widely used in image processing and in data analysis in many fields.