Login / Register
MyProjectBazaar
0 Items
₹ 0 00

Cart

View Cart Empty Cart
  • No products in the cart.

CUSTOMER SUPPORT

+91 96777 48277, +91 96777 51577

LOVE IS SHARING
  • HOME
  • ABOUTUS
  • SHOP BY
    • DOMAIN
      • Application Projects
      • Big Data
      • Cloud Computing
      • Communications
      • Datamining
      • Digital Image Processing
      • Digital Signal Processing
      • Mobile Computing
      • Networking
      • Network Security
      • Parallel & Distribued
      • Power Electronics
      • VLSI
      • Web Services
      • Wireless Sensor Networking
    • LANGUAGE
      • Java Projects
      • Dotnet Projects
      • Matlab Projects
      • Android Projects
      • PHP Projects
    • YEAR
      • 2013 Projects
      • 2014 Projects
      • 2015 Projects
      • 2016 Projects
      • 2017 Projects
      • 2018-2019 Projects
      • 2019-2020 Projects
      • 2021 projects
    • PRICE
      • 1000 – 3000INR
      • 3000 – 5000INR
      • 5000INR AND UP
  • BLOG
  • FAQ
  • FEATURES
  • OFFERS
  • SUPPORT
  • ONLINE PAYMENT
Back to top
Home / programming language / Online Matlab Projects / Deep Image Compression in the Wavelet Transform Domain
‹ Back to the shop

Deep Image Compression in the Wavelet Transform Domain

Wishlist
Categories: 2019-2020 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: 2019 projects, 2019-2020 Projects, discrete wavelet transforms, IEEE Projects, Image coding, neural networks, predictive models
  • Description
  • Additional information
  • Product Inquiry

Product Description

Deep Image Compression in the Wavelet Transform Domain Based on High Frequency Sub-Band Prediction

Abstract-In this paper, we propose to use deep neural networks for image compression in the wavelet transform domain. When the input image is transformed from the spatial pixel domain to the wavelet transform domain, one low-frequency sub-band (LF sub-band) and three high-frequency sub-bands (HF sub-bands) are generated. Low-frequency sub-band is firstly used to predict each high-frequency subband to eliminate redundancy between the sub-bands, after which the sub-bands are fed into different autoencoders to do the encoding. In order to further improve the compression efficiency, we use a conditional probability model to estimate the context-dependent prior probability of the encoded codes, which can be used for entropy coding. The entire training process is unsupervised, and the auto-encoders and the conditional probability model are trained jointly. The experimental results show that the proposed approach outperforms JPEG, JPEG2000, BPG, and some mainstream neural network-based image compression. Furthermore, it produces better visual quality with clearer details and textures because more high-frequency coefficients can be reserved, thanks to the high-frequency prediction.

Video Demo23

450

Including Packages

  • Source Code
  • Documentation
  • Complete Presentation Slides
  • Flow Diagram
  • Database File
  • Screenshots
  • Execution Procedure
  • Readme File
  • Addons
  • Video Tutorials
  • Supporting Softwares

Our Specialization

  • Voice Conference
  • Video On Demand *
  • Remote Connectivity *
  • Code Customization **
  • Document Customization **
Points

Support Service

  • 24/7 Support
  • Ticketing System
  • Live Chat Support
  • Toll Free Support *

 

  • *- PremiumSupport Service (Based on Service Hours)
  • ** – Premium Development Service (Based on Requirements)

Discount

CUSTOMER SUPPORT

Call us +91 96777 61440

HAPPY CUSTOMERS

Read the testimonials

LATEST NEWS

enjoy our blog

Statistical Report

110

satisfied customers

3,589
25

Freelance projects

983
311

sales on Site

11,021
41

developers

175+

Ieee_Final_Year_ProjectsStudent_ProjectsIeee_Projects

Additional Information

Domains

Digital Image Processing

Programming Language

Matlab

* Insert the name
* Insert a valid email
* Insert a message

Related products

  • On sale!

    Fast 1-Minimization Algorithms for Robust Face Recognition

    ₹4,500.00
    Add to cart
    Details
    Wishlist
    Share

    Share on:

    facebook
    twitter
    google
    pinterest
  • On sale!

    Multi-Atlas Segmentation with Joint Label Fusion

    ₹4,500.00
    Add to cart
    Details
    Wishlist
    Share

    Share on:

    facebook
    twitter
    google
    pinterest
  • On sale!

    Objective Quality Assessment of Tone-Mapped Images

    ₹4,500.00
    Add to cart
    Details
    Wishlist
    Share

    Share on:

    facebook
    twitter
    google
    pinterest

₹4,500.00

Wishlist
Share

Share on:

facebook
twitter
pinterest


Copyright myprojectbazaar 2020

LiveZilla Live Chat Software

Terms & Conditions // Disclaimer // Cancellation & Refund // Privacy Policy // Shipping and Delivery