Antonio Ortega1, Ramesh Govindan1, Wyatt Lloyd1, Xing Xu1, Zahaib Akhtar1
13:30 - 15:30 | Tue 22 Mar | Poster Area B | IVMSP-P1.7
The ever increasing quantity of user generated photos has created a growing storage burden on photo sharing services. This creates the need for compression techniques that take JPEG compressed images as inputs. In this paper we propose two novel very low complexity codecs, ROMP and L-ROMP to recompress JPEG photos. ROMP is a lossless JPEG recompression codec that achieves 15% average gains over JPEG, while L-ROMP is a lossy codec that can achieve 28% average compression gains over JPEG, by applying coefficient thresholding based on a perceptual criterion to a JPEG image before using the entropy coding of ROMP. ROMP and LROMP can not only significantly reduce the storage burden of photo sharing services, but also reduce their internal bandwidth of transferring photos.