A systematic review on advances and perspectives of image compression in telemedicine

Transmission of medical images from one place to another is an important part of telemedicine applications. Raw medical images take huge time for transmission which makes telemedicine process tedious and impractical. When subjected to compression either there will be a loss of data or size will not be reduced much. One way to overcome this problem is to allow some loss of data so that the size is reduced and also diagnostically important parts remains unaffected. This is the process behind region-based compression. Critical analysis has been done on the advances in the compression techniques developed till now and their perspectives in the field of telemedicine. Emphasis is laid on region-based compression a technique which paves the way for efficient and effective compression of medical images. The review also covers the scope of future research along with suitable solution to improve the performance of compression algorithms for telemedicine.

[1]  An approach to integer wavelet transform for medical image compression in PACS , 2000, Wuhan University Journal of Natural Sciences.

[2]  Rafael J. Villanueva,et al.  ROI-based procedures for progressive transmission of digital images: A comparison , 2009, Math. Comput. Model..

[3]  B. C. Jinaga,et al.  A Novel Optimized Golomb-Rice Technique for the Reconstruction in Lossless Compression of Digital Images , 2013 .

[4]  Xuelong Li,et al.  A natural image quality evaluation metric , 2009, Signal Process..

[5]  Bradley James Erickson,et al.  Irreversible Compression of Medical Images , 2002, Journal of Digital Imaging.

[6]  Gholamreza Anbarjafari,et al.  Lossy image compression using singular value decomposition and wavelet difference reduction , 2014, Digit. Signal Process..

[7]  V. K. Bairagi,et al.  Automated region-based hybrid compression for digital imaging and communications in medicine magnetic resonance imaging images for telemedicine applications , 2012 .

[8]  Ali Al-Fayadh,et al.  Gabor Wavelet Transform in Image Compression , 2012 .

[9]  Yi Zhang,et al.  Fractal compression coding based on wavelet transform with diamond search , 2012 .

[10]  Christophe Charrier,et al.  Quality assessment of still images , 2013 .

[11]  William A. Pearlman,et al.  Hierarchical Dynamic Range Coding of Wavelet Subbands for Fast and Efficient Image Decompression , 2007, IEEE Transactions on Image Processing.

[12]  Deborah Estrin,et al.  Energy-Efficient Image Compression for Resource-Constrained Platforms , 2009, IEEE Transactions on Image Processing.

[13]  Alan C. Bovik,et al.  A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms , 2006, IEEE Transactions on Image Processing.

[14]  Nidhi Sethi,et al.  Image Compression Using Haar Wavelet Transform , 2011 .

[15]  Yang Hu,et al.  Medical Image Compression Based on Vector Quantization with Variable Block Sizes in Wavelet Domain , 2012, Comput. Intell. Neurosci..

[16]  Stéphane Coulombe,et al.  A novel discrete wavelet transform framework for full reference image quality assessment , 2013, Signal Image Video Process..

[17]  Artur Przelaskowski.  Vector quality measure of lossy compressed medical images , 2004, Comput. Biol. Medicine.

[18]  Ping Liu,et al.  An Improved SPIHT Algorithm for Image Compression in Low Bit Rate , 2013 .

[19]  Jan Cornelis,et al.  Progressive lossless coding of medical images , 1998, Future Gener. Comput. Syst..

[20]  Din-Chang Tseng,et al.  Wavelet-based medical image compression with adaptive prediction , 2005 .

[21]  Taesoo Lee,et al.  An Implementation of Wireless Medical Image Transmission System on Mobile Devices , 2008, Journal of Medical Systems.

[22]  Khan A. Wahid,et al.  A Subsample Based Hybrid DWT-DCT Algorithm for Medical Imaging Applications , .

[23]  Yuzo Iano,et al.  Generalized region of interest coding applied to SPIHT , .

[24]  Daniele D. Giusto,et al.  A multi-factors approach for image quality assessment based on a human visual system model , 2006, Signal Process. Image Commun..

[25]  Chokri Ben Amar,et al.  Beta wavelets. Synthesis and application to lossy image compression , 2005, Adv. Eng. Softw..

[26]  Wen Gao,et al.  Learning-based image restoration for compressed images , 2012, Signal Process. Image Commun..

[27]  Savita Gupta,et al.  Content Based Medical Image Coding with Fuzzy Level Set Segmentation Algorithm , 2013 .

[28]  Tom Buggy,et al.  Wavelet Based Image Compression Techniques , 2012 .

[29]  V. K. Bairagi,et al.  Lossless Medical Image Compression by Integer Wavelet and Predictive Coding , 2013 .

[30]  A Bourka,et al.  Multi-purpose HealthCare Telemedicine Systems with mobile communication link support , 2003, Biomedical engineering online.

[31]  Eduardo Romero,et al.  A supervised visual model for finding regions of interest in basal cell carcinoma images , 2011, Diagnostic pathology.

[32]  Anastasios N. Venetsanopoulos,et al.  Biorthogonal nearly coiflet wavelets for image compression , 2001, Signal Process. Image Commun..

[33]  Azadeh Mansouri,et al.  Image quality measurement besides distortion type classifying , 2009 .

[34]  A. Enis Çetin,et al.  Lossless image compression by LMS adaptive filter banks , 2001, Signal Process..

[35]  M. A. Ansari,et al.  Context based medical image compression for ultrasound images with contextual set partitioning in hierarchical trees algorithm , 2009, Adv. Eng. Softw..

[36]  J A Brink,et al.  Evaluation of JPEG and wavelet compression of body CT images for direct digital teleradiologic transmission. , 2000, Radiology.

[37]  Jyh-Horng Jeng,et al.  Study on Huber Fractal Image Compression , 2009, IEEE Trans. Image Process..

[38]  Nanning Zheng,et al.  A Novel Fractal Image Compression Scheme With Block Classification and Sorting Based on Pearson's Correlation Coefficient , 2013, IEEE Transactions on Image Processing.

[39]  Michel Barlaud,et al.  Entropy-Based Distortion Measure and Bit Allocation for Wavelet Image Compression , 2007, IEEE Transactions on Image Processing.

[40]  Shu-Ching Chen,et al.  A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe Coding , 2009, IEEE Transactions on Information Technology in Biomedicine.

[41]  Zhou Wang,et al.  Multi-scale structural similarity for image quality assessment , 2003 .

[42]  Gabriel Cristóbal,et al.  Self-Invertible 2D Log-Gabor Wavelets , 2007, International Journal of Computer Vision.

[43]  Li Liu,et al.  Lossless compression of medical images using Hilbert space-filling curves , 2008, Comput. Medical Imaging Graph..

[44]  Guang Deng.  An interpolative subband coding algorithm for lossless image compression , 1999, Signal Process. Image Commun..

[45]  T. Kathirvalavakumar,et al.  Self organizing map and wavelet based image compression , 2013, Int. J. Mach. Learn. Cybern..

[47]  Sujit Dey,et al.  Adaptive image compression for wireless multimedia communication , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[48]  Miew Keen Choong,et al.  Cost-effective handling of digital medical images in the telemedicine environment , 2007, Int. J. Medical Informatics.

[49]  Germán Castellanos-Domínguez,et al.  Evaluation of Region-of-Interest coders using perceptual image quality assessments , 2013, J. Vis. Commun. Image Represent..

[50]  Nasir D. Memon,et al.  CALIC-a context based adaptive lossless image codec , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[51]  Jia Li.  An improved wavelet image lossless compression algorithm , 2013 .

[52]  M. L. Dewal,et al.  Progressive medical image coding using binary wavelet transforms , 2014, Signal Image Video Process..

[53]  Sidney Fernbach.  Supercomputers—past, present, prospects , 1984 .

[54]  H. K. Verma,et al.  Adaptive threshold-based block classification in medical image compression for teleradiology , 2007, Comput. Biol. Medicine.

[55]  Si-Yu Xia,et al.  Context-based embedded image compression using binary wavelet transform , 2010, Image Vis. Comput..

[56]  Xi Chen,et al.  A Novel Fractal Wavelet Image Compression Approach , 2007 .

[57]  Lei Yang,et al.  Ripplet: A new transform for image processing , 2010, J. Vis. Commun. Image Represent..

[58]  Kamrul Hasan Talukder,et al.  Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image , 2010, ArXiv.