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Enhancing Quality of Lossy Compressed Images using Minimum Decreasing Technique

Ahmed L., Mohammed Otair
2018 International Journal of Advanced Computer Science and Applications  
This paper presents a new technique to enhance the quality of compressed images while preserving the compression ratio by adding some of pre-processing steps before implementing any existing lossy compression  ...  These steps minimize the required number of bits to represent each pixel in the compressed images.  ...  speedily improved for compress large data files like images, there are several algorithms which perform this compression in various ways; some of these compression methods are designed for the specific  ... 
doi:10.14569/ijacsa.2018.090353 fatcat:hh3decyynfcklgshzvf2clihuu

Review: Denoising and Compression Methods

Miss. D. D. Chougule, Prof. K. K. Pandyaji
2018 International Journal of Trend in Scientific Research and Development  
The use of computers for handling image data in the healthcare is growing.  ...  In this paper, Image recognition is the process of identifying and detecting an object or a feature in a digital image or video.  ...  Vrscay, In this paper, propose a simple yet effective fractal-wavelet scheme for edge preservingsmoothing of noisy images.  ... 
doi:10.31142/ijtsrd11521 fatcat:7ylh5bmq6nhohnb2bttj7jgefu

Simple method for enhancing the performance of lossy plus lossless image compression schemes

Nasir D. Memon
1993 Journal of Electronic Imaging (JEI)  
., "Simple method for enhancing the performance of lossy plus lossless image compression schemes" (1993). CSE Journal Articles. 224. Abstract.  ...  Lossy plus lossless techniques for image compression split an image into a low-bit-rate lossy representation and a residual that represents the difference between this low-rate lossy image and the originaL  ...  Acknowledgments This work was supported in part by the NASA Lewis Research Center under grant NAG 3-806 and by the Center for Communication and Information Science, University of Nebraska-Lincoln.  ... 
doi:10.1117/12.148253 fatcat:baixof6htbgsli2btx2kzyuvma

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

Fernando Garcia-Vilchez, Jordi Munoz-Mari, Maciel Zortea, Ian Blanes, Vicente Gonzalez-Ruiz, Gustavo Camps-Valls, Antonio Plaza, Joan Serra-Sagrista
2011 IEEE Geoscience and Remote Sensing Letters  
Hyperspectral data lossy compression has not yet achieved global acceptance in the remote sensing community, mainly because it is generally perceived that using compressed images may affect the results  ...  In this letter, we quantify the impact of lossy compression on two standard approaches for hyperspectral data exploitation: spectral unmixing, and supervised classification using support vector machines  ...  In addition, in order to improve the coding performance of these techniques, a common strategy for hyperspectral images is to decorrelate first the image in the spectral domain; DWT and principal component  ... 
doi:10.1109/lgrs.2010.2062484 fatcat:22ayxuwslfbrfnw3rgs7ii4oye

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data

Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagrista, Xavier Calbet, Gustau Camps-Valls
2019 IEEE Transactions on Geoscience and Remote Sensing  
In this paper we analyze the effect of spatial and spectral compression on the performance of statistically based retrieval.  ...  a moderate to high compression, which improves the performance.  ...  Lossy compression is known to be an indirect way of performing signal filtration and denoising.  ... 
doi:10.1109/tgrs.2019.2901396 fatcat:7jzygmj56rb5jne7ov5oh6emri

Learning-Driven Lossy Image Compression; A Comprehensive Survey [article]

Sonain Jamil, Md. Jalil Piran, MuhibUrRahman
2022 arXiv   pre-print
Convolutional neural networks (CNNs) solve a wide range of image processing issues and can solve image compression problem. Compression of images is necessary due to bandwidth and memory constraints.  ...  We divide all of the algorithms into several groups based on architecture. We cover still image compression in this survey.  ...  Aliasing Effect In Reconstructed Image The fifth research gap is the learning-driven lossy image compression frameworks' aliasing effect in the reconstructed image.  ... 
arXiv:2201.09240v1 fatcat:avvaw46w3ffvtbv37js45wcv2e

TWO-STEP PROVIDING OF DESIRED QUALITY IN LOSSY IMAGE COMPRESSION BY SPIHT

Fangfang Li, Sergey Krivenko, Vladimir Lukin
2020 RADIOELECTRONIC AND COMPUTER SYSTEMS  
shown that the use of a two-step method can perform the compression in a very simple manner and with reduced compression time under the premise of providing a desired visual quality accuracy.  ...  This modification relates to the cases when images subject to lossy compression are either too simple or too complex and linear approximation of dependences is no more valid.  ...  Review of research status Many researchers have conducted studies on improving the compression ratio of lossy compression [12, 13] , while some researchers have performed analysis on evaluation of image  ... 
doi:10.32620/reks.2020.2.02 fatcat:njbpnbvruvcpzpslyfjt2jfeje

Interleaved Quantization for Near-Lossless Image Coding [chapter]

Ignacio Ramírez
2015 Lecture Notes in Computer Science  
We propose an alternate way for avoiding banding artifacts, where quantization is applied in an interleaved fashion, leaving a portion of the samples untouched, following a known pseudo-random Beroulli  ...  Traditional techniques for dealing with this issue include dithering, where the encoder contaminates the input signal with a noise function (which may be known to the decoder as well) prior to quantization  ...  Introduction Predictive coding is one of the oldest, yet still most popular tools for signal sampling, coding and compression [1, 2] .  ... 
doi:10.1007/978-3-319-25751-8_48 fatcat:cspt5m34fjazhpagp7fparxtc4

Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study

Nikolay Ponomarenko, Sergey Krivenko, Vladimir Lukin, Karen Egiazarian, Jaakko T. Astola
2010 EURASIP Journal on Advances in Signal Processing  
This paper concerns lossy compression of images corrupted by additive noise. The main contribution of the paper is that analysis is carried out from the viewpoint of compressed image visual quality.  ...  The "optimal" parameters of coders for which this positive effect can be observed depend upon standard deviation of the noise.  ...  If one follows this recommendation for a simple image, a coder provides lossy compression in a neighborhood of OOP (in the sense of visual quality of a compressed noisy image).  ... 
doi:10.1155/2010/976436 fatcat:3dqnpwdahba3rbmh4mjuppwxlu

Processing of Multichannel Remote-Sensing Images with Prediction of Performance Parameters [chapter]

Benoit Vozel, Oleksiy Rubel, Alexander Zemliachenko, Sergey Abramov, Sergey Krivenko, Ruslan Kozhemiakin, Vladimir Lukin, Kacem Chehdi
2016 Environmental Applications of Remote Sensing  
For the considered operations of denoising and lossy compression, it is shown that their basic performance characteristics can be quite easily predicted based on easily calculated local statistics in discrete  ...  Automation presumes undertaking a decision on expedience of image filtering.  ...  The same relates to 3D lossy compression performance, which has not been tried to predict yet.  ... 
doi:10.5772/61853 fatcat:pje37itcbzdi3mpw6bpvmtxv74

Image file formats

L.K. Tan
2006 Biomedical Imaging and Intervention Journal  
on relative differences of compression performance to other formats, rather than an absolute performance ranking.  ...  ) (lossy) Comments Support for compressed BMP is rare Complex data element structure often introduces minor incompa- tibilities between vendors For simple diagrams, GIF often compresses  ...  Information technology (IT) is currently spurring the rapid advancement in healthcare, especially in biomedical imaging. biij is launching a new series of tutorial articles called 'Technology in Imaging  ... 
doi:10.2349/biij.2.1.e6 pmid:21614221 pmcid:PMC3097601 fatcat:p5gnyt2dgfd63fuw7fdozys3zi

Multispectral Image Coding [chapter]

Tretter Daniel, Memon Nasir, Charles A. Bouman
2005 Handbook of Image and Video Processing  
Lossy compression, however, may not be desirable in many circumstances due to the uncertainty of the effects caused by lossy compression on subsequent scientific analysis that is performed with the image  ...  Lossy compression algorithms attempt to introduce errors in such a way as to minimize the degradation in output image quality for a given compression ratio.  ... 
doi:10.1016/b978-012119792-6/50107-8 fatcat:ock34euztja5dkf7u6h3scmbby

Wavelet-based medical image compression

Eleftherios Kofidis, Nicholas Kolokotronis, Aliki Vassilarakou, Sergios Theodoridis, Dionisis Cavouras
1999 Future generations computer systems  
The performance of the basic version of EZW is improved upon by a simple, yet effective, way of a more accurate estimation of the centroids of the quantization intervals, at a negligible cost in side information  ...  A useful and flexible compromise between the need for high compression and the requirement for preservation of selected regions of interest is provided through two intelligent, yet simple, ways of achieving  ...  A simple yet effective way of exploiting the generally nonuniform probability distribution of the significant wavelet coefficients is proposed and shown to lead to improved quality of reconstruction at  ... 
doi:10.1016/s0167-739x(98)00066-1 fatcat:zghab4auzzc6jpcic7c6did3hu

Semantic and Generative Models for Lossy Text Compression

I. H. Witten, T. C. Bell, A. Moffat, C. G. Nevill-Manning, T. C. Smith, H. Thimbleby
1994 Computer journal  
The major challenge for lossy text compression is the quantitative evaluation of the quality of this match.  ...  In image coding, lossy techniques yield compression factors that are vastly superior to those of the best lossless schemes, and we show that this is also the case for text.  ...  The final section points the way to a synthesis of the two approaches, which together promise to form an extremely powerful and yet general method of lossy text compression.  ... 
doi:10.1093/comjnl/37.2.83 fatcat:mbvmjhule5henidiae36j6475q

Standard and Specific Compression Techniques for DNA Microarray Images

Miguel Hernández-Cabronero, Ian Blanes, Michael W. Marcellin, Joan Serra-Sagristà
2012 Algorithms  
and then we summarize the compression results reported for these microarray-specific image compression schemes.  ...  In a set of experiments conducted for this paper, we obtain new results for several popular image coding techniques that include the most recent coding standards.  ...  Acknowledgments The MicroZip corpus was kindly provided by Neves  ... 
doi:10.3390/a5010030 fatcat:nvkg7jyojjatvjaw5yoxp4a4tq
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