Perceptual quantization parameter selection for crime scene investigation tool images

作     者：Yanchao GONG Zhao LI Zhuang WANG Kaifang YANG Ying LIU Keng Pang LIM Yanchao GONG;Zhao LI;Zhuang WANG;Kaifang YANG;Ying LIU;Keng Pang LIM

作者机构：School of Communications and Information EngineeringXi’an University of Posts and TelecommunicationsXi’an 710121China Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201210China School of Electronic and Information EngineeringChongqing Three Gorges UniversityChongqing 404000China School of Computer ScienceShaanxi Normal UniversityXi’an 710119China XsecPro Pte.Ltd.Singapore 787820Singapore 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2023年第17卷第1期

页      面：241-243页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 62277036  61801381  61801282) 

主　　题：parameter image CSI 

摘      要：1 Introduction Crime scene investigation(CSI)is critical for solving criminal cases and court ***,all CSI data must be kept as electronic files in specific systems according to relevant *** files,including reconstructed CSI images,provides great convenience for the public security and court to store,manage,display,and analyze CSI data more *** coding which pursues higher reconstructed quality of CSI images using lower coding rate plays a very important role in the above *** with the previous image coding standards,high efficiency video coding(HEVC)still image coding technique significantly improves the image coding *** coding efficiency of HEVC is closely related to the selected quantization parameter(QP).