  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 problem using the alternating direction
method of multipliers (ADMM) approach, leading to a procedure in which a
standard compression technique is iteratively applied. We demonstrate the
proposed method for adjusting HEVC image/video compression to compensate
post-decompression visual effects due to a common type of displays.
Particularly, we use our method to reduce motion-blur perceived while viewing
video on LCD devices. The experiments establish our method as a leading
approach for preprocessing high bit-rate compression to counterbalance a
post-decompression degradation.
