Project Login
Registration No:
Password:
MAIL ALERTS SMS ALERTS
 
     
   
     

IMAGE COMPRESSION USING WAVELET TRANSFORM

Platform : DSP

IEEE Projects Years : 1992

This paper appears in: Image Processing, IEEE Transactions on Issue Date: Apr 1992 AIM: To Understand Wavelet Transform And Utilize It For Image Compression ABSTRACT The 2-D orthogonal wavelet transform decomposes images into both spatial and spectrally local coefficients. The transformed coefficients were coded hierarchically and individually quantized in accordance with the local estimated noise sensitivity of the human visual system (HVS). The algorithm can be mapped easily onto VLSI. For the Miss America and Lena monochrome images, the technique gave high to acceptable quality reconstruction at compression ratios of 0.3-0.2 and 0.64-0.43 bits per pixel (BPP), respectively LEARNING OBJECTIVE: To understand the ability of the wavelet transform for image compression INPUT: Any general image OUTPUT : Compressed version of Image via wavelet transform algorithm APPLICATIONS: • Image processing • Video processing T • Transmission SOFTWARE TOOL USED: • MATLAB 2007A

NOW GET PROJECTS ! GET TRAINED ! GET PLACED !

IEEE, NON-IEEE, REAL TIME LIVE ACADEMIC PROJECTS,

PROJECTS WITH COMPLETE COURSES,SOFT SKILLS & PLACEMENTS

ALLOVER INDIA & WORLD WIDE,

HOSTEL FACILITY AVAILABLE FOR GIRLS & BOYS SEPARATELY,

CALL: 08985129129 ,  E-Mail Id: support@ascentit.in

REGISTER FOR PROJECTS NOW ! GET DISCOUNT
   
1