Prof. Ilya Pollak
at Purdue Univ
SPIE Involvement:
Conference Chair | Conference Program Committee | Editor | Author | Instructor
Publications (19)

SPIE Conference Volume | February 27, 2013

PROCEEDINGS ARTICLE | February 14, 2013
Proc. SPIE. 8657, Computational Imaging XI
KEYWORDS: Image processing algorithms and systems, Statistical analysis, Metals, Image segmentation, Particles, Error analysis, Computer simulations, Analytical research, Photomicroscopy, Statistical modeling

PROCEEDINGS ARTICLE | February 14, 2013
Proc. SPIE. 8657, Computational Imaging XI
KEYWORDS: Detection and tracking algorithms, Visualization, Cameras, Video, Particles, Error analysis, 3D modeling, Manganese, Motion measurement, Motion estimation

SPIE Conference Volume | February 22, 2012

SPIE Conference Volume | February 7, 2011

SPIE Conference Volume | January 27, 2010

Showing 5 of 19 publications
Conference Committee Involvement (9)
Computational Imaging XI
5 February 2013 | Burlingame, California, United States
Computational Imaging X
23 January 2012 | Burlingame, California, United States
Computational Imaging IX
24 January 2011 | San Francisco Airport, California, United States
Computational Imaging VIII
18 January 2010 | San Jose, California, United States
Computational Imaging VII
19 January 2009 | San Jose, California, United States
Showing 5 of 9 published special sections
Course Instructor
SC964: HD Photo/JPEG XR in the Context of Modern Image Compression
The first part of this short course is a general introduction to image compression. We describe the basic structure of an image encoder and discuss its desirable properties. We describe various transforms that have led to various image compression algorithms such as JPEG, JPEG2000 and HD Photo/JPEG XR---specifically, block DCT, wavelets, and lapped transforms. The second part of the tutorial is a more in-depth look at the HD Photo compression algorithm (recently standardized as JPEG XR) developed by Microsoft Corporation. We describe various aspects of the algorithm and, whenever possible, discuss its modules in the context of the corresponding modules of the JPEG compression standard. We conclude by presenting a comparative performance analysis of HD Photo, JPEG2000, SPIHT and JPEG, using both PSNR and the perceptual SSIM index as distortion metrics. (Please define the acronyms SPIHT, PSNR, SSIM, and any other acronyms you may use in the Learning Outcomes or other areas of the description.)
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