Update README.md

README.md

@@ -67,14 +67,16 @@ A higher emphasis is given to **L1 loss**, ensuring that overall brightness and
 | **Perceptual Loss (VGG)** | Feature loss from `conv5_block4` of pretrained VGG-19 | **10** | Captures high-level texture and semantic alignment |
 | **Adversarial Loss** | Binary cross-entropy loss from PatchGAN discriminator | **1** | Encourages realistic IR texture generation |
 | **Edge Loss** | Sobel/gradient difference between real & generated images | **5** | Enhances sharpness and edge clarity |
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 The **total generator loss** is computed as:  
 \[
 L_{G} = \lambda_{L1}\,L_{L1} + \lambda_{\text{perc}}\,L_{\text{perc}} + \lambda_{\text{adv}}\,L_{\text{adv}} + \lambda_{\text{edge}}\,L_{\text{edge}}
 \]
 
 
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 ##  Evaluation Metrics
 
 | Metric | Definition | Result |