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Lossy image compression using discrete cosine transform (DCT) method

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Image-Compression

The project explores discrete cosine transform (DCT) method for lossy image compression using MATLAB.

Image Processing Techniques Used

  1. Discrete Cosine Transform
  2. Inverse Discrete Cosine Transform
  3. Bicubic Interpolation
  4. Masking
  5. Quantization
  6. Constant Global Thresholding

Performance Metrics

  1. Compression Ratio (CR)
  2. Mean Squared Error (MSE)
  3. Peak Signal to Noise Ratio (PSNR)
  4. Structural Similarity Index Measure (SSIM)

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Lossy image compression using discrete cosine transform (DCT) method

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