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# System prepended metadata

title: Denoise (04-05)-09-22 Log

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# Denoise (04-05)-09-22 Log

## Trained Grayscale images

# SR GAN*

Extra 1 conv layer after first conv layer, **3** Residual Block


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## Our dataset (the lighthouse@10fps + gauss+s&p+specle)

### Regular Loss

Discriminator loss = BCE loss

Generator loss = .5 * BCE loss + content loss + pixel loss + smooth loss

***tried with excluding pixel loss and smooth loss
tried with only BCE loss***

  

**Result** At first generator is showing patterns of real image but slowly converges to gray

<a href="https://ibb.co/BsfNP75"><img src="https://i.ibb.co/BsfNP75/image.png" alt="image" border="0"></a>

# SR GAN**
w/ and w/o Extra 1 conv layer after first conv layer, **5 and 8** Residual Block, w/ and w/o upsampling block
Weights initialized from normal distribution of mean 0.0 and variation 0.02, mean .5 std .2, mean .9 std 0.02

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## Kaggle Dataset

  

### Wasserstein Loss

  

#### Variation 1: Discriminator is trained N:1 of Generator, guass+s&p+speckle noise added additionally

**Discriminator loss** = Mean of discriminator prediction + Gradient Penalty

**Generator loss** = .5 * Mean of Discriminator Score + content loss + pixel loss + smooth loss

with N=30

***tried with excluding pixel loss and smooth loss
tried with only mean of discriminator score***


**Result**: Just generating gray image and discriminator loss and generator loss is exponentially increasing
<a href="https://ibb.co/gM2MXy3"><img src="https://i.ibb.co/gM2MXy3/image.png" alt="image" border="0"></a>

#### Variation 2: Discriminator is trained 1:1 of Generator

**Discriminator loss** = BCE loss + GP

**Generator loss** = .5 * Mean of Discriminator Score + content loss + pixel loss + smooth loss

***tried with excluding pixel loss and smooth loss***
***tried with only mean of discriminator score***
* in these case generator loss increases slowly, but discriminator loss increases exponentially

**Result**: Just generating gray image and discriminator loss and generator loss is exponentially increasing

For N = 30 
<a href="https://ibb.co/XW8nxLB"><img src="https://i.ibb.co/XW8nxLB/image.png" alt="image" border="0"></a>



### Just BCE Loss for Gen and Disc

Discriminator becomes perfect too soon

<a href="https://ibb.co/rwgL7JN"><img src="https://i.ibb.co/rwgL7JN/image.png" alt="image" border="0"></a>