Fundamentals of digital image processing
Fundamentals of digital image processing
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Through the far looking glass: collaborative remote observing with the W. M. Keck Observatory
interactions - Special section on collaboratories
The Upper Atmospheric Research Collaboratory (UARC)
interactions - Special section on collaboratories
Visual information retrieval
Lossless Image Compression Using Integer to Integer Wavelet Transforms
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Relevance of statistically significant differences between reconstruction algorithms
IEEE Transactions on Image Processing
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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This work presents a rigorous and objective evaluation of two progressive image transmission techniques in a framework of telemicroscopy of biological specimens. First of all, a Lossless Progressive Image Codec (LPIC) which is based on a specific wavelet transform and an efficient encoding method is introduced. This system is then compared to the standard Progressive-JPEG (P-JPEG) for the specific task of detecting biological specimens in the images progressively received by a biologist controlling a remote transmission electron microscope (TEM). Both methods have been quantitatively compared by means of a task-oriented methodology that guarantees an objective comparison for the task at hand. Such a methodology is based upon a wide ensemble of artificial images resembling real electron microscopy images, as well as on a thorough set of figures of merit assessing the quality of the reconstructed images. The results that have been obtained allow to claim with statistical significance that our method outperforms the standard P-JPEG throughout the transmission process. Finally, both the progressive transmission methods LPIC and P-JPEG were applied over real electron microscopy images from different subfields of structural biology, and the results exhibited a similar behavior to that obtained for artificial images. Visualization results manifest that LPIC exhibits excellent levels of details from the very beginning, whereas P-JPEG undergoes severe blocking artifacts along the first stages of the transmission. Therefore, the conclusion of the work is that the superiority of the progressive image transmission method introduced here over P-JPEG becomes manifest for the task of detecting biological specimens in the progressively transmitted images.