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» Statistical identification and analysis of defect developmen...
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DPHOTO
2009
138views Hardware» more  DPHOTO 2009»
13 years 2 months ago
Statistical identification and analysis of defect development in digital imagers
The lifetime of solid-state image sensors is limited by the appearance of defects, particularly hot-pixels, which we have previously shown to develop continuously over the sensor ...
Jenny Leung, Glenn H. Chapman, Zahava Koren, Israe...
DFT
2007
IEEE
142views VLSI» more  DFT 2007»
13 years 11 months ago
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
Growth of pixel density and sensor array size increases the likelihood of developing in-field pixel defects. An ongoing study on defect development in imagers has now provided us ...
Jenny Leung, Jozsef Dudas, Glenn H. Chapman, Israe...
MVA
2000
191views Computer Vision» more  MVA 2000»
13 years 6 months ago
Development of Visual Inspection System Based on Vector Analysis Technique
The present paper proposes a new concept of image processing method based on vector representation for visual inspection test. The method was applied to detect defects and extract...
Masatake Sakuma, Katsumi Kubo, Shigeru Kanemoto, T...
TIFS
2008
179views more  TIFS 2008»
13 years 4 months ago
Blind Identification of Source Cell-Phone Model
The various image-processing stages in a digital camera pipeline leave telltale footprints, which can be exploited as forensic signatures. These footprints consist of pixel defects...
Oya Çeliktutan, Bülent Sankur, Ismail ...
CIMAGING
2008
141views Hardware» more  CIMAGING 2008»
13 years 6 months ago
Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
We apply stabilized inverse diffusion equations (SIDEs) to segment microscopy images of materials to aid in analysis of defects. We extend SIDE segmentation methods and demonstrat...
Landis M. Huffman, Jeff P. Simmons, Ilya Pollak