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Deep Learning Practice · End Term · 31 Aug 2025 · May 2025 term · Set QDB1

Question 21: Two models, Model 1 and Model 2, are used to reconstruct…

Question 21

+1.5 marksNumerical answer

Two models, Model 1 and Model 2, are used to reconstruct grayscale images with pixel intensity values in the range [0,255][0, 255]. Their performance is evaluated by computing the Mean Squared Error (MSE) between the reconstructed images and their corresponding ground truth images.

The reported MSE values are:

  • Model 1: MSE1=205.80\text{MSE}_1 = 205.80
  • Model 2: MSE2=180.50\text{MSE}_2 = 180.50

The Peak Signal-to-Noise Ratio (PSNR) is calculated using the formula:

PSNR=10⋅log⁡10(MAX2MSE),where MAX=255\text{PSNR} = 10 \cdot \log_{10}\left(\frac{MAX^2}{\text{MSE}}\right), \quad \text{where } MAX = 255

Based on the above data, answer the given subquestions.

Compute the PSNR for Model 2 (in dB) (rounded to 2 decimal places):

Show answer

Correct answer: 25.57 (accepted within ±0.02)

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Question 21 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB3 31 Aug 2025). It carries 1.5 marks.

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