ICONS PRESENTATION
Adriano Lopez de onate
Created on November 28, 2023
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Adriano Lopez de Onate - BSc in Computer ScienceSupervised by Dr. Amir AtapourDecember the 5th, 2023
Generative modelling for image compression and reconstruction of X-RAY images
THE PIED PIPER ALGORITHM
- The Pied Piper algorithm from the show Silicon Valley is a video compression software program written in C that achieves a Weissman score in the fives.
- This type of video compression technology is said to be able to actually shrink the internet by as much as 10 percent with widespread adoption.
JUSTIFICATION AND BACKGROUND: SILICON VALLEY
jUSTIFICATION AND bACKGROUND: COMPRESSION - THE MAGIC KEY TO EVOLUTION
Napster1999
USBs1996
Mobile device2010
DVDs1995
HHDs1980 - 1990
COMPRESSED
Originial
Originial
Originial
LOSSY
LOSSLESS
TWO MAIN TYPES:
DATA COMPRESSION
Data compression is a process of reducing the size of data files or streams by encoding information using fewer bits than the original representation.
jUSTIFICATION AND bACKGROUND: whAT IS dATA COMPRESSION
SIZE: 412KB
SIZE: 798KB
FINAL OUTPUT
INTERMEDIATE
ORIGINAL
SIZE: 1.4Mb
Introduction
- This project aims to merge the fields of image enhancement and data compression by developing an innovative approach using Generative Networks to achieve adaptive image compression.
PERSONAL PROJECT: AIMS AND SCOPE
PERSONAL PROJECT APPROACH: GAN VS DIFFUSION
VS
Generative Adversarial Models
Generative Adversarial Network (GAN) involves training an encoder and decoder to compress and reconstruct the original images.
DIffusion-Based Models
Diffusion-based models aim to strike a balance between compression and reconstruction fidelity through a diffusion process.
SUPERB!
PERCEPTUALQUALITY
COMPRESSION
PERSONAL PROJECT: FINAL SCOPE
- Models apart, my project is therefore entirely based on finding the "perfect" matching point between compression and quality using a lossy apporach
PERSONAL PROJECT: work and further work!
4.
3.
2.
1.
Try to beat the current state-of-art!(Perhaps a tad too ambitious)
Train the model on medicals datatset
Evaluate the current research papers
Getting the best out of Diffusion and Adversarial models
- Richard Endricks, Silicon Valley [HBO, 2014]
"Entropy is the silent DJ at the data compression party. It spins the records of disorder, but our algorithms are here to dance with chaos and make sure the beats are still groovy."
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Overview of the architecture. Given an input image x and target rate factor λrate, we obtain a base codec reconstruction x ̃. the DDPM is conditioned on x ̃ and learns to model a reverse diffusion process that generates residuals r0 from sampled gaussian noise latents rT . The enhanced reconstruction xˆ is then obtained by adding the predicted residual to x ̃
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Example of Diffusion-based compression
The entire model is trained in the first stage, and the second stage trains only the decoder.The interpolated decoder reconstructs an input image from quantized latent code. Q, AE, and AD are a quantizer, an arithmetic encoder and an arithmetic decoder, respectively.