Realistic camera noise modeling with application to improved HDR synthesis
نویسندگان
چکیده
منابع مشابه
Realistic camera noise modeling with application to improved HDR synthesis
Due to the ongoing miniaturization of digital camera sensors and the steady increase of the “number of megapixels”, individual sensor elements of the camera become more sensitive to noise, even deteriorating the final image quality. To go around this problem, sophisticated processing algorithms in the devices, can help to maximally exploit the knowledge on the sensor characteristics (e.g., in t...
متن کاملImproved Crosstalk Modeling with Applications to Noise Constrained Interconnect Optimization
This paper presents a highly accurate yet efficient crosstalk noise model, the 2model, and applies it to interconnect optimizations for noise reduction. Compared to previous crosstalk noise models with similar complexity, our 2model takes into consideration many key parameters, such as coupling locations (near-driver or near-receiver) and the coarse distributed RC characteristics for the victim...
متن کاملAutomatic Noise Modeling for Ghost-free HDR Reconstruction: Supplementary Material
Figures 1 and 2 illustrate our image-based calibration process used to estimate the camera gain parameter; Figure 3 shows the impact of different error levels in the gain estimation on the deghosted results. These figures extend the contents presented in Figs. 3 and 5 of the main paper. Our image-based calibration algorithm can accurately estimate the gain from the input images whenever the sce...
متن کاملApproximations to camera sensor noise
Noise is present in all image sensor data. Poisson distribution is said to model the stochastic nature of the photon arrival process, while it is common to approximate readout/thermal noise by additive white Gaussian noise (AWGN). Other sources of signal-dependent noise such as Fano and quantization also contribute to the overall noise profile. Question remains, however, about how best to model...
متن کاملSynthesis of Device-Independent Noise Corpora for Realistic ASR Evaluation
In order to effectively evaluate the accuracy of automatic speech recognition (ASR) with a novel capture device, it is important to create a realistic test data corpus that is representative of realworld noise conditions. Typically, this involves either recording the output of a device under test (DUT) in a noisy environment, or synthesizing an environment over loudspeakers in a way that simula...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2012
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2012-171