Distinguishing Digital Image Origin via Higher Order Statistics

First Page		Document Content
Date: 2006-04-26 14:42:12 Computer graphics Image noise Demosaicing JPEG Digital camera Active pixel sensor Region growing Noise reduction Fixed-pattern noise Digital photography Imaging Photography		Distinguishing Digital Image Origin via Higher Order Statistics Add to Reading List Source URL: www.ws.binghamton.edu Download Document from Source Website File Size: 721,44 KB Share Document on Facebook

	Estimating radiometric response functions from image noise variance Jun Takamatsu1? , Yasuyuki Matsushita2 , and Katsushi Ikeuchi1?? 1 1 DocID: 1v8L6 - View Document
	Mixed-Signal Stochastic Computation Demonstrated in an Image Sensor with Integrated 2D Edge Detection and Noise Filtering David Fick, Gyouho Kim, Allan Wang, David Blaauw, Dennis Sylvester University of Michigan, Ann Arb DocID: 1uXOP - View Document
	WHITE PAPER Hikvision Advanced Image Processing Noise Reduction Noise Reduction DocID: 1tNPQ - View Document
	ProLine PL230 2048 x 2048 Imaging Array Size 15 μm Pixel Size ProLine sets the standards in key performance areas that include: Download Speeds, Cooling, Low Noise Operation, Anti-Ghosting Technology, Image Quality, and DocID: 1tpKg - View Document
	An Efficient Statistical Method for Image Noise Level Estimation Guangyong Chen1 , Fengyuan Zhu1 , and Pheng Ann Heng1,2 1 Department of Computer Science and Engineering, The Chinese University of Hong Kong 2 DocID: 1th2P - View Document