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Binary image compression using the radon transform

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TLDR
A new technique for compression of binary images is proposed that uses the Radon transform to convert a binary image to a set of 1-dimensional (1-D) non-binary sequences, which are coded using 1-D techniques.
Abstract
A new technique for compression of binary images is proposed. The Radon transform is used to convert a binary image to a set of 1-dimensional (1-D) non-binary sequences, which are coded using 1-D techniques. A binary image can be reconstructed from a very small number of projections and this leads to significant compression. The compression ratio for a binary image of size NxN is inversely proportional to N.

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Journal Article

Comparative Analysis between DCT & DWT Techniques of Image Compression

TL;DR: Two image compression techniques are simulated based on Discrete Cosine Transform and Discrete Wavelet Transform and the results are shown and different quality parameters of its by applying on various images are compared.

3-D video coding system with enhanced rendered view quality

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TL;DR: This chapter discusses the synthesis process using depth maps, the construction of graph based transform for depth map coding, and rate and distortion analysis of depth transition data.
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Depth Map Compression for Depth-Image-Based Rendering

TL;DR: In this paper, the authors discuss unique characteristics of depth maps, review recent depth map coding techniques, and describe how texture and depth map compression can be jointly optimized for depth maps.
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

Adaptive quantization with a one-word memory

TL;DR: By including an adequate range of values for N and Δ START in a generalized SNR definition, it is shown how one can determine stable multiplier functions M OPT that are optimal for a given signal.
Journal ArticleDOI

Coding of Two-Tone Images

TL;DR: The concepts and techniques of efficient coding for the transmission or storage of two-tone images, such as business documents and weather maps, are reviewed.
Journal ArticleDOI

Image data compression by predictive coding I: prediction algorithms

TL;DR: Predictive coding techniques for efficient transmission or storage of two-level (black and white) digital images and techniques for encoding the prediction error pattern to achieve compression of data are presented.
Proceedings ArticleDOI

Binary image reconstruction from four projections

TL;DR: Addresses the problem of reconstructing an image from two pairs of its orthogonal projections by developing an iterative reconstruction method that is an error energy reduction scheme.
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