title: Context-Aware Image Compression.
abstract: We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression, here the decoding can be performed without the need of phase recovery. We present rate-distortion analysis and show improvement in PSNR compared to compression via uniform downsampling.
authors.affiliation: Department of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Jacky C K
authors.initials: JC
authors.lastname: Chan
authors.affiliation: Department of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America.|California NanoSystems Institute, Los Angeles, California, United States of America.
authors.forename: Ata
authors.initials: A
authors.lastname: Mahjoubfar
authors.affiliation: Department of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America.|California NanoSystems Institute, Los Angeles, California, United States of America.
authors.forename: Claire L
authors.initials: CL
authors.lastname: Chen
authors.affiliation: Department of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America.|California NanoSystems Institute, Los Angeles, California, United States of America.|Department of Bioengineering, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Bahram
authors.initials: B
authors.lastname: Jalali
mesh_terms: D044962:Data Compression / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D059629:Signal-To-Noise Ratio