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1. Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: EDICS categories: IMD-ANAL; MSP-
MULT
This article has been accepted for publication in IEEE MultiMedia but has not yet been fully edited.
Some content may change prior to final publication
Abstract: Quantization noise is one of the dominant distortions of image
compression, and its amplitude usually needs to be estimated for image quality
assessment, restoration and enhancement. One such estimation, the peak signal-to-
noise ratio (PSNR), has commonly been used as an objective quality measure.
However, this measure has limitation in practical applications as it requires as a
reference the original image, which is not always available to end users. To
overcome the limitation, blind or non-reference PSNR estimation has received
much attention in the literature as it requires not the original image, but some
statistics of the original image, such as the probability density functions (PDFs) of
original discrete cosine Digital Object Indentifier 10.1109/MMUL.2009.77 1070-
986X/$26.00 © 2009 IEEE This article has been accepted for publication in IEEE
MultiMedia but has not yet been fully edited. Some content may change prior to
final publication. transform (DCT) coefficients. Assuming that PDFs of DCT
coefficients follow Laplacian distribution, we propose here a new method to
estimate the key parameter of the distribution from a set of training data, consisting
of a variety of typical images compressed with various quantization parameters.
Our experimental results show that the proposed method can estimate the PSNR of
a given image more accurately, with smaller estimation bias and variance, as
compared to the existing methods.

2. Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com