Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Proyecto Final: Sistema de Compresión de Imagenes (DCT) atraves de MATLAB.

No description
by

Yango Colmenares

on 12 December 2013

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Proyecto Final: Sistema de Compresión de Imagenes (DCT) atraves de MATLAB.

By Yango Alexander Colmenares
Final Project: Image Compression System(DCT) Using MATLAB
INTRODUCTION
RESULT AND ANALYSIS
by :
Yusherizan Marshella Binti Yusoh
(EE084076)
BACKGROUND
CONCLUSION
Steps to construct the Image Compresion System:

Prepare a database for training and testing.

Image Processing.

Vector Quantization.

Simulation and evaluation.
RESULT AND ANALYSIS
OBJECTIVES
Minimizar recursos dedicados a la transmisión o al almacenamiento de datos en imagenes a traves del algoritmo DCT.

Crear un codigo en Matlab que permita visualizar las características óptimas en cuanto a compactación de energía con el uso de transformadas.
Image Database for Training and Testing
Create image database for references to make comparison later on.

Image database recorded using JPG format.

Create database for the TRAIN folder and TEST folder.

The image model will be trained in DCT vector space for each User.

After the training steps, system should be able to acknowledge the voice characteristic for each User.

Testing phase, system will identify the User of each iamge file in TEST folder.
Image Processing
Transform the image file to DCT sequence (data compress).

Signal will be plotted in time domain.

Contain high amount of data causing problem for examining the voice.
Image Processing
The matrix (vector) will be cut into frames. Result of cutting will be a matrix of N samples from original image.

Applying windowing and FFT to transform the signal into frequency domain

Compute power spectrum using
images
command
.
Image Processing
Preferible la DCT por la existencia de transformada rápida y menor coste computacional.
Rendimiento similar tanto perceptual como cuantitativo.
Una factible compresión con muestreo zonal
Por ejemplo, de 5MB a 1MB
IMAGE REDUCTION (IR)
SIMULATION AND EVALUATION
Simulate the training and testing procedure for the image compresion system DCT .
Technique chosen for Image Compresion
METHODOLOGY
Supervisor: Dra linda Karina Toscano

OVERVIEW
INTRODUCTION

-Objective
-Background
-Methodology

RESULT AND ANALYSIS

CONCLUSION
Improvement can be implement in the Image Compression System according to the application.

Full transcript