Hardware-efficient virtual high dynamic range image reproduction

ICIP(2009)

引用 6|浏览24
暂无评分
摘要
High dynamic range (HDR) images keep dynamic range of luminance from 105 to 108 and preserve more details than low dynamic range (LDR) images. Conventional acquisition of HDR images requires several images with different exposure settings of one scene, so multiple cameras or static scene are necessary. Besides, in order to transform HDR images onto normal LDR display, tone-mapping algorithms are required which need intensive computations. In this paper, we propose a hardware-efficient virtual HDR image synthesizer that includes virtual photography and local contrast enhancement. Only one LDR image is enough to generate HDR-like images, with fine details and uniformly-distributed intensity. A real-time hardware display system suitable for image or video contrast enhancement is also implemented. Under UMC90um technology, we can process video sequences with NTSC 720×480 resolution at 60 frames per second (FPS), running at 100MHz and consume 0.3mm2 silicon area.
更多
查看译文
关键词
high dynamic range (hdr),hardware-efficient virtual hdr image,dynamic range,normal ldr display,contrast enhancement,ldr image,hdr image synthesizer,hardware-efficient virtual high dynamic range image reproduction,image resolution,camera,hdr-like image,low dynamic range,video contrast enhancement,image exposure,photography,image contrast enhancement,image reproduction,umc90um technology,hdr image,image acquisition,real-time hardware display system,virtual high dynamic range,image sequences,tone-mapping algorithm,static scene,high dynamic range,local contrast enhancement,image enhancement,virtual photography,image colour analysis,video sequence,pixel,real time,real time systems,tone mapping,hardware,noise,frames per second
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要