Quality assessment methods for wavelet-compressed digital angiogram images

This paper investigates the effects of lossless and lossy wavelet image compression methods on digital angiogram images. The requirements of suitable quality assessment methods for decompressed images are considered and the need for diagnostically relevant quality metrics in discussed. The results of experimental quality investigations, including expert cardiologists identifications of diagnostically acceptable quality boundaries, are presented and discussed.

[1]  Jelena Kovacevic,et al.  Wavelets and Subband Coding , 2013, Prentice Hall Signal Processing Series.

[2]  H. K. Huang,et al.  Radiologic image compression-a review , 1995, Proc. IEEE.

[3]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[4]  M L Giger,et al.  Data compression: effect on diagnostic accuracy in digital chest radiography. , 1991, Radiology.

[5]  J. Baina,et al.  Objective methods for assessment of video quality : state of the art , 1997, IEEE Trans. Broadcast..

[6]  William A. Pearlman,et al.  An image multiresolution representation for lossless and lossy compression , 1996, IEEE Trans. Image Process..

[7]  John A. Swets,et al.  Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers , 1996 .

[8]  S. Dewitte,et al.  Lossless integer wavelet transform , 1997, IEEE Signal Processing Letters.

[9]  Thrasyvoulos N. Pappas,et al.  Supra-threshold perceptual image coding , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[10]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[11]  Michael J. Gormish,et al.  Lossless and nearly lossless compression for high-quality images , 1997, Electronic Imaging.

[12]  D P Chakraborty,et al.  Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data. , 1989, Medical physics.

[13]  R. G. Fraser,et al.  Digital and conventional chest imaging: a modified ROC study of observer performance using simulated nodules. , 1986, Radiology.

[14]  Pamela C. Cosman,et al.  Image quality in lossy compressed digital mammograms , 1997, Signal Process..

[15]  Norman B. Nill,et al.  A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment , 1985, IEEE Trans. Commun..

[16]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[17]  Olivier Verscheure,et al.  Quality assessment of image features in video coding , 1997, Proceedings of International Conference on Image Processing.

[18]  Ahmad Zandi,et al.  Compression with reversible embedded wavelets with an enhanced binary mode , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[19]  David R. Ramsdale,et al.  Practical Interventional Cardiology , 1996 .

[20]  Pamela C. Cosman,et al.  Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy , 1994, Proc. IEEE.

[21]  Anthony J. Maeder,et al.  An objective quality assessment technique for digital image sequences , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[22]  Benjamin Belzer,et al.  Wavelet filter evaluation for image compression , 1995, IEEE Trans. Image Process..