Publication

A 90.6 pJ/pixel 1280×800 65 fps cm-Scale Fully Integrated Video Encoder System Utilizing a 2×2 Microlens Array

Yves Bellouard
2026

Abstract

This work presents a compact (31.5×10.7×4mm3) video encoder system with a commercial imager, flash, a custom 2×2 microlens array, and an image signal processing (ISP) chip using novel 2×2 intra-frame compression. Leveraging the subframe redundancies inherent to the microlens array, the system achieves >59× compression with >32dB PSNR. With this, the ISP chip fabricated in 28nm CMOS attains 90.6 pJ/pixel energy efficiency at 1280×800, 65fps video stream.

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Yves Bellouard
2026

Abstract

Official source

Related concepts (32)

High Efficiency Video Coding

High Efficiency Video Coding (HEVC), also known as H.265 and MPEG-H Part 2, is a video compression standard designed as part of the MPEG-H project as a successor to the widely used Advanced Video Coding (AVC, H.264, or MPEG-4 Part 10). In comparison to AVC, HEVC offers from 25% to 50% better data compression at the same level of video quality, or substantially improved video quality at the same bit rate. It supports resolutions up to 8192×4320, including 8K UHD, and unlike the primarily 8-bit AVC, HEVC's higher fidelity Main 10 profile has been incorporated into nearly all supporting hardware.

Data compression

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

Video compression picture types

In the field of video compression a video frame is compressed using different algorithms with different advantages and disadvantages, centered mainly around amount of data compression. These different algorithms for video frames are called picture types or frame types. The three major picture types used in the different video algorithms are I, P and B. They are different in the following characteristics: I‐frames are the least compressible but don't require other video frames to decode.

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