Optimized Pre-Compensating Compression
Yehuda Dar, Michael Elad, and Alfred M. Bruckstein

TL;DR
This paper introduces a pre-compensating compression method that optimizes input signals to counteract known display degradation effects, improving perceived image/video quality without post-filtering.
Contribution
It presents a novel rate-distortion based optimization framework using ADMM to pre-process images/videos for display-specific degradation compensation.
Findings
Effective reduction of motion blur on LCD displays.
Outperforms standard compression in compensating display effects.
Applicable to high bit-rate HEVC video compression.
Abstract
In imaging systems, following acquisition, an image/video is transmitted or stored and eventually presented to human observers using different and often imperfect display devices. While the resulting quality of the output image may severely be affected by the display, this degradation is usually ignored in the preceding compression. In this paper we model the sub-optimality of the display device as a known degradation operator applied on the decompressed image/video. We assume the use of a standard compression path, and augment it with a suitable pre-processing procedure, providing a compressed signal intended to compensate the degradation without any post-filtering. Our approach originates from an intricate rate-distortion problem, optimizing the modifications to the input image/video for reaching best end-to-end performance. We address this seemingly computationally intractable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
