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Dimensionality Reduction using PCA

19MAT117 - MATHEMATICS FOR INTELLIGENT SYSTEMS-2: PROJECT

AIM 🎯:

Reduce the size of the input image and produce all the possible images in the size-range given using different values of Principal Components(PCs)

DATASET :

Images of different extensions were collected by the group members and stored in the link below.

Dataset

Evaluation Metrics:

  • Compression Ratio
  • PSNR using MSE

Working:

User is asked to input relative path to the image file, the folder the output images should be saved and the preferred size range of the output images. All the images with the size falling in the range are saved and their metrics like, compression ratio, size after compression, MSE, PSNR and number of PCs are displayed at the command window

Slides

Output Images

GrayScaled, Compressed, original images have been stored in the link below.

OutputImages

Group 12 Members

  • AM.EN.U4AIE20126 - GAYATHRI P
  • AM.EN.U4AIE20143 - LAKSHMI WARRIER
  • AM.EN.U4AIE20144 - M DEVIKA
  • AM.EN.U4AIE20145 - M VARUNDEV
  • AM.EN.U4AIE20153 - NIVEDITA RAJESH

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