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Image compression using hybrid quantization method in jpeg

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TLDR
The purpose of proposed Hybrid Quantization Method is to overcome the limitations in the standard JPEG method & to provide a solution to them to find best possible solution for trade off between Compression ratio and Quality of compressed Image (MSE & PSNR).
Abstract
This paper refers to proposed “Hybrid Quantization Method” in JPEG image compression standard. The purpose of proposed Hybrid Quantization Method is to overcome the limitations in the standard JPEG method & to provide a solution to them. In standard JPEG process, only one quantization matrix is used for compression of the entire image. Higher Quantization matrix provide better compression ratio but poor image quality. Similarly Lower Quantization matrix offers best image quality but the compression ratio is less. Different images have different frequency contents. So, if the quantization matrix is chosen based on the frequency content of the input image, then it is possible to improve image quality for almost same compression ratio. Proposed Hybrid Quantization Method aims to find best possible solution for trade off between Compression ratio (size of image) and Quality of compressed Image (MSE & PSNR).

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Citations
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References
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Book

Fundamentals of digital image processing

TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI

Discrete Cosine Transform

TL;DR: In this article, a discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed, which can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
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The JPEG still picture compression standard

TL;DR: The author provides an overview of the JPEG standard, and focuses in detail on the Baseline method, which has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Book

Introduction to data compression

TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.