1. Image Filtering Comparison of ISP HW vs Almalence SW filters + Tasks sharing between ISP And Almalence Imaging Libraries

2. Features chart ISP HWAlmalence SW Multishot-compatibleNoYes Lens shading taken into account RarelyYes Easily configurableNoYes

3. Typical ISP pipeline SensorADC Chroma sub- sample RGB to YUV Gamma correct Sharpen JPEG enc Denoise Color- space convert RAW Optical clamp De- bayer Faulty Pixel correct Lens shading correct Culling & Binning Black level sub Scale Red-tinted blocks are filters

4. ISP function with Super-Resolution SensorADC Chroma sub- sample RGB to YUV Gamma correct Sharpen JPEG enc Denoise Color- space convert RAW Optical clamp De- bayer Faulty Pixel correct Lens shading correct Culling & Binning Black level sub Scale SR processing JPEG enc Denoise Align Fuse De- ghost Enhance edges SR processing includes Denoise and Sharpening. Standard filters should be turned off to preserve image data needed for SR -SR utilizes image data preserved due to absence of filters -SR replaces the filters with better ones

5. Real life comparison Example images below have been taken with Galaxy Nexus Stock firmware Jelly Bean Android

6. Noise filter – HW ISP Lens shading correction not taken into account Center Corner: noise outbursts

7. Noise filter – Almalence Lens shading taken in account Center Corner

8. Noise filter – Almalence Easily configured (API accessible from application layer) No filtering High filtering Little filtering

9. Noise filter – Almalence Filtered with HW: Some noise remaining, Some details lost Filtered with Almalence NF: Complete removal of noise Details remain SW flexibility allows for more complex algorithms

10. Sharpening filter – HW ISP Downscaled full image looks good Close look – oversharpening evident (halos)

11. Sharpening filter – Almalence Close look – edges are enhanced, no halos

12. Super-resolution compatibility SR result with pre-filtered images: loss of details, over-sharpen exaggerated SR result with post-filtering