Comagna SIRE technology Presentation

Comagna SIRE technology What it does Enhances image resolution (such as takes a 320x200 pixel image and creates a 640x400 image)‏ Generates extra pixels that are “the most likely” approximation based on thousand of samples learned The algorithm is very fast and efficient US Patent Application 20080260285

Comagna SIRE technology Problem with existing algorithms Existing efficient (fast, inexpensive) algorithms have serious artifacts (jagged lines)‏ Bilinear, Bicubic, Lanczos, etc. Existing good algorithms are computationally expensive (slow, or require hefty hardware)‏ Jensen Xi-Li, B-Spline, Pseudoinverse, etc.

Comagna SIRE technology Overview of algorithms on the quality/efficiency scale

Comagna SIRE technology Standard original “Lena” test image (512x512 pixels)‏

Comagna SIRE technology Source image for comparison tests (128x128 pixels)‏ Created by resampling “Lena” test image

Comagna SIRE technology Upconverted from source image using known “Lanczos” algorithm Pros: fast (<0.1 sec)‏ Cons: artifacts (jagged lines, edges)‏

Comagna SIRE technology Upconverted from source image using known “Backprojected Jensen-Xi-Li” algorithm Pros: good quality Cons: slow/expensive (~10 sec)‏

Comagna SIRE technology Upconverted from source image using Comagna's new “SIRE” algorithm Fast (<0.2 sec)‏ Good quality Insensitivity to MPEG/JPG artifacts

Comagna SIRE technology Image resolution enhancement application Digital zoom in cameras Blow-up function in graphic art software Standard Definition (SD) to High Definition (HD) in Video Media Business focus on SD to HD upconversion Speed and hardware expense is critical

Comagna SIRE technology SD to HD Upconversion hardware options: Use bicubic or similar algorithm on cheap hardware, sacrifice quality Use good quality algorithm, expensive HW cost per unit to achieve real-time upconversion frame by frame Licence Comagna technology, keep HW cost down