RESEARCH PAPERS

image compression research papers




Using fractal compression scheme to embed a digital signature into an image
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ABSTRACT With the increase in the number of digital networks and recording devices, digital images appear to be a material, especially still images, whose ownership is widely threatened due to the availability of simple, rapid and perfect duplication and distribution 

Image compression using the discrete cosine transform
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ABSTRACT The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images. These 

TMW-a new method for lossless image compression
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ABSTRACT We present a general purpose lossless greyscale image compression method, TMW, that is based on the use of linear predictors and implicit segmentation. In order to achieve competitive compression, the compression process is split into an analysis step 

Integration of human color vision models into high quality image compression
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ABSTRACT Strong academic and commercial interest in image compression has resulted in a number of sophisticated compression techniques. Some of these techniques have evolved into international standards suc11 as JPEG. However, the widespread success of JPEG 

Adaptive image compression with wavelet packets and empirical mode decomposition
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ABSTRACT This thesis addresses the problem of using wavelet packets and empirical mode decomposition (EMD) for image compression. The wavelet packet basis selection algorithm is studied through an extensive experimental survey of the generated decomposition trees 

Lossless volumetric medical image compression
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ABSTRACT This paper focuses on lossless medical image compression methods for 3D volumetric medical images that operate on three-dimensional (3D) reversible integer wavelet transforms. We offer an application of the Set Partitioning in Hierarchical Trees ( 

Stereo image compression with disparity compensation using the MRF model
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ABSTRACT In coming years there will be an increasing demand for realistic 3-D display of scenes using such popular approaches as stereo or multi-view images. As the amount of information displayed increases so does the need for digital compression to ensure 

Energy efficient distributed JPEG2000 image compression in multihop wireless networks
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ABSTRACT The problem of energy efficient image transmis-sion over a resource constrained multi-hop wireless network is considered. Two methods of data exchange in distributed wavelet transform are proposed and investigated with respect to energy consumption and 

Fractal image compression via nearest neighbor search
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ABSTRACT In fractal image compression the encoding step is computationally expensive. A large number of sequential searches through a list of domains (portions of the image) are carried out while trying to find best matches for other image portions called ranges. Our 

Image compression using coding of wavelet coefficients–a survey
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ABSTRACT Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. New algorithms for image compression based on wavelets have been developed. These methods have 

Volumetric medical image compression with three-dimensional wavelet transform and octave zerotree coding
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ABSTRACT Compression of 3D or 4D medical image data has now become imperative for clinical picture archiving and communication systems (PACS), telemedicine and telepresence networks. While lossless compression is often desired, lossy compression 

Low-complexity principal component analysis for hyperspectral image compression
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ABSTRACT Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in conjunction with JPEG2000 for hyperspectral-image compression. 

Image compression and the discrete cosine transform
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As our use of and reliance on computers continues to grow, so too does our need for efficient ways of storing large amounts of data. For example, someone with a web page or online catalog œ that uses dozens or perhaps hundreds of images œ will more than likely need to use 

Image compression based on empirical mode decomposition
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ABSTRACT Previous work on Empirical Mode Decomposition in two dimensions typically generates a residue with many extrema points. In this paper we propose an improved method to decompose an image into a number of Intrinsic Mode Functions and a residue 

Algorithm for fast fractal image compression
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ABSTRACT Fractal image compression is a promising new technology that may successfully provide a codec for PC-to-PC video communications. Unfortunately, the large amount of computation needed for the compression stage is a major obstacle that needs to be 

An evaluation of color embedded wavelet image compression techniques
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ABSTRACT Color embedded image compression is investigated by means of a set of core experiments that seek to evaluate the advantages of various color transformations, spatial orientation trees and the use of monochrome embedded coding schemes such as EZW 

Evolving nonlinear predictive models for lossless image compression with genetic programming
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ABSTRACT We describe a genetic programming system which learns nonlinear predictive models for lossless image compression. S-expressions which represent nonlinear predictive models are learned, and the error image is compressed using a Huffman encoder. We 

The modified 2D-Haar Wavelet Transformation in image compression
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ABSTRACT This paper proposes a modified simple but efficient calculation schema for 2D- Haar wavelet transformation in image compression. The proposed work is aimed at developing computationally efficient and effective algorithms for lossy image compression 

Hardware implementation of a lossless image compression algorithm using a field programmable gate array
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We describe a hardware implementation of a state-of-the-art lossless image compression algorithm. The algorithm is based on the LOCO-I (low complexity lossless compression for images) algorithm developed by Weinberger, Seroussi, and Sapiro, with modifications to 

Trends of tree-based, set-partitioning compression techniques in still and moving imagesystems
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ABSTRACT In addition to high compression efficiency, future still and moving image coding systems will require many other features. They include fidelity and resolution scalability, region of interest enhancement, random access decoding, resilience to errors due to 

The contourlet transform for image compression
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ABSTRACT The JPEG 2000 norm uses the bi-orthogonal wavelet transform for image decomposition. Wavelets are well adapted to point singularities (discontinuities), however they have a problem with orientation selectivity, and therefore, they do not represent two- 

Optimal construction of wavelet coefficients using total variation regularization in image compression
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ABSTRACT In this paper, we propose using Partial Differential Equation (PDE) techniques in wavelet based image processing to reduce edge artifacts generated by wavelet thresholding. We employ a variational framework, in particular the minimization of total 

Exploiting spatial correlation in pixel-domain distributed image compression
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ABSTRACT Contrary to convention, we construct distributed image compression codecs that operate in the pixel-domain, yet exploit spatial correlation at the decoder only. For lossless compression of binary images of text, we propose two novel decoders: one assumes the 

Opponent color, human vision and wavelets for image compression
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ABSTRACT Modern image compression codecs produce embedded bitstreams with optimal rate-distortion properties. For natural imagery the distortion measure should by extended by a model of human color vision. The choice of the color space becomes here crucial since 

Evolvable hardware chip for high precision printer image compression
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ABSTRACT This paper describes a data compression chip for the high-precision electrophotographic printer using Evolvable Hardware (EHW). EHW is a new hardware paradigm which combines Genetic Algorithm (GA) and reconfigurable hardware 

Image compression using neural networks and haar wavelet
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ABSTRACT Wavelet-based image compression provides substantial improvements in picture quality at higher compression ratios. Haar wavelet transform based compression is one of the methods that can be applied for compressing images. An ideal image compression 

A novel approach to medical image compression
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As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, 

Image compression on-the-fly by universal sampling in Fourier imaging systems
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ABSTRACT An image compression system is proposed, where compression is trivially accomplished by minimally redundant acquisition, but decoding requires a nonlinear estimation step. The performance of this system is evaluated on examples and by studying 

Wavelet-based image compression
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One of the most successful applications of wavelet methods is transform-based image compression (also called coding). Such a coder [depicted in Fig. 6.1 (a)] operates by transforming the data to remove redundancy, then quantizing the transform coefficients (a 

Estimation of accessible quality in noisy image compression
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ABSTRACT A task of lossy compression of noisy images providing accessible quality is considered. By accessible quality we mean minimal distortions of a compressed image with respect to the corresponding noise-free image that are observed for the case of optimal 

A survey on fractal image compression key issues
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ABSTRACT This study is a survey of existing fractal coding methods and approaches, which highlights the solution to the key and open issues in the fractal coding. In addition, the possible approaches from encoding time optimization point of view are discussed. This 

Reversible wavelet transforms and their application to embedded image compression
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A BS TRAC T The design and implementation of reversible w avelet/subband transforms and their application to reversible embedded image compression are studied. Reversible embedded image coding provides a natural w ay for building unified lossy/lossless image 

Medical image compression using DCT-based subband decomposition and modified SPIHT data organization
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Objective: The work proposed a novel bit-rate-reduced approach for reducing the memory required to store a remote diagnosis and rapidly transmission it. Method: In the work, an 8× 8 Discrete Cosine Transform (DCT) approach is adopted to perform subband decomposition 

A comparative study of image compression between JPEG and Wavelet
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ABSTRACT Image compression is fundamental to the efficient and cost-effective use of digital medical imaging technology and applications. Wavelet transform techniques currently provide the most promising approach to high-quality image compression, which is 

A study of fractal image compression based on an improved genetic algorithm
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ABSTRACT Reducing the search complexity of matching between range block and domain block in fractal image compression is one of the most active research areas lately. This paper puts forward an improved genetic algorithm proposed for obtaining matching 

Subjective evaluation of JPEG XR image compression
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ABSTRACT In this paper a procedure for subjective evaluation of the new JPEG XR codec for compression of still pictures is described in details. The new algorithm has been compared to the existing JPEG and JPEG 2000 standards when considering compression 

Fractal image compression
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ABSTRACT The paper gives and introduction on Image Coding based on Fractals and develops a simple algorithm to be used as a reference design. Key words: Image Coding, Fractal Theory, Image Compression, Iterated Function System.

Bitmap reconstruction for document image compression
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AB STRACT We introduce a pattern matching algorithm and a bitmap reconstruction method used in document image compression. This pattern matching algorithm uses the cross entropy between two patterns as the criterion for a match. We use a physical model which 

A high-speed distortionless predictive image-compression scheme
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This article introduces a high-speed distortionless predictive image-compression scheme that is based on differential pulse code modulation output modeling com-bined with efficient source-code design. Experimental results show that this scheme achieves compression 

Revolutionary image compression and reconstruction via evolutionary computation, part 2: multiresolution analysis transforms
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ABSTRACT Previous research demonstrated that a genetic algorithm (GA) can utilize supercomputers to evolve image compression and reconstruction transforms that reduce mean squared error (MSE) by more than 22%(1.126 dB) under conditions subject to 

Image compression in iris-biometric fuzzy commitment schemes
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ABSTRACT Template protection targets privacy and security risks caused by unprotected storage of biometric data. Meeting properties of irreversibility and unlinkability template protection systems can be applied to secure existing records within biometric databases, 

An approach to 2D wavelet transform and its use for image compression
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ABSTRACT In this paper is constructed a new type of twodimensional wavelet transform. Construction is based on lifting scheme. We transform ID wavelets with symmetrical factorisation to their 2D counterparts. Comparison to existing similar 2D wavelet 

A comparison of two image compression techniques for softcopy photogrammetry
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ABSTRACT This paper discusses the basics of digital image compression and explains the conceptual differences of various approaches. Two techniques, the standard JPEG algorithm and the newly developed HierarchicaI Predictive Coding [HPC) approach, are 

Image compression using a neural network
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Data compression of speckled images poses a non-trivial model identification problem. We train an unsupervised neural network on a set of archetype images in order to form an internal representation (or model) of the image features. We find that a multi-layer 

Linear phase perfect reconstruction filter banks: theory, structure, design, and application inimage compression
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A b stract T h is diss er tat ions t udi es the the or y, st ruc t ur e, de sign, a nd im pl emen tat iono f discr etet ime FI Rlin ea rp ha seperfectre cons t ruc t ion fi l te rb ankswi th a rbi trary M c ha nn e ls a nd a rbi trar yl e ng th fi l te rs. T he cl a sso ffi l te rb ank sinconsid er at ion 

Lapped transforms for image compression
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This chapter covers the basic aspects of lapped transforms and their applications to image compression. It is a subject that has been extensively studied mainly because lapped transforms are closely related to filter banks, wavelets, and time-frequency transformations 

Image compression using modified fast haar wavelet transform
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ABSTRACT Wavelets are mathematical tools for hierarchically decomposing functions. Wavelet Transform has been proved to be a very useful tool for image processing in recent years. It allows a function which may be described in terms of a coarse overall shape, plus details 


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