Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
(2022)
Conference Proceeding
Bhowmik, N., Barker, J., Gaus, Y., & Breckon, T. (2022). Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery. . https://doi.org/10.1109/cvprw56347.2022.00052
Lossy image compression strategies allow for more efficient storage and transmission of data by encoding data to a reduced form. This is essential enable training with larger datasets on less storage-equipped environments. However, such compression c... Read More about Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery.