Skip to main content
Optimizing compression and decompression for each region in an image by importance of texture and detailed structure
September 30, 2020
Hitachi, Ltd. has developed an image compression technology optimized for each region in an image based on deep learning with the aim of efficiently utilizing vast quantities of image data that are generated daily. We aimed to optimize for a perceptual image quality rather than an index that simply expresses assessment through errors of pixel values.*1 This technology optimizes compression and decompression based on regions where texture is important or regions where detailed structure is important. It was validated that this technology realizes top-class perceptual image quality at an image compression competition*2 held under an ultra-low-bitrate condition*3 and judged by human evaluators. Hitachi will accelerate this research through co-creation, etc. and consider applying this method to IoT solutions utilizing vast quantities of data. In addition, Hitachi will also consider applying this method to support societal change under COVID-19 by researching needs for remote operation or automation, etc.
For more information, use the enquiry form below to contact the Research & Development Group, Hitachi, Ltd. Please make sure to include the title of the article.