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    Area of Science:

    • Computer Vision
    • Image Processing
    • Video Compression

    Background:

    • Image and video quality is often degraded by imperfect display devices after compression.
    • This display-induced degradation is typically overlooked during the compression stage.
    • Existing compression methods do not account for post-decompression visual artifacts.

    Purpose of the Study:

    • To develop a preprocessing method that compensates for display device degradation within a standard compression framework.
    • To optimize image/video modifications for improved end-to-end performance, considering display limitations.
    • To reduce perceived visual artifacts, such as motion blur on LCDs, without post-filtering.

    Main Methods:

    • Modeling display sub-optimality as a known degradation operator applied to decompressed content.
    • Augmenting a standard compression path with a pre-processing procedure to counteract degradation.
    • Utilizing the alternating direction method of multipliers (ADMM) to solve the rate-distortion problem.
    • Iteratively applying a standard compression technique (e.g., HEVC) with optimized pre-processing.

    Main Results:

    • Demonstrated a method to adjust HEVC compression to compensate for post-decompression visual effects.
    • Successfully reduced motion blur perceived when viewing videos on LCD displays.
    • Established the proposed method as a leading approach for pre-processing high bit-rate compression to mitigate display degradation.

    Conclusions:

    • The developed pre-processing technique effectively counterbalances post-decompression visual degradation caused by display devices.
    • This approach offers a significant improvement in end-to-end image and video quality by integrating display awareness into compression.
    • The method provides a computationally tractable solution for optimizing compression against known display imperfections.