مشاهده مشخصات مقاله
VIDEO DENOISING BASED ON A LOCAL GAUSSIAN DISTRIBUTION IN 3-D COMPLEX WAVELET DOMAIN
|
نویسنده (ها) |
-
Hossein Rabbani
-
Mansur Vafadust
|
|
مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
چکیده |
In this paper we present a new video denoising algorithm that model distribution of wavelet coefficients in each
subband with a Gaussian probability density function (pdf) that its variance is local (It means that we use a
separate Gaussian pdf for each pixel of each subband). This pdf is capable of modeling the heavy-tailed nature of
wavelet coefficients and the empirically observed correlation between the coefficient amplitudes. Within this
framework, we describe a novel method for video denoising based on designing a maximum a posteriori (MAP)
estimator, which relies on the zero-mean Gaussian random variables with high local correlation. Because
separate 3-D transforms, such as ordinary 3-D wavelet transforms, have visual artifacts that reduce their
performance in applications, we perform our algorithm in 3-D complex wavelet transform. This non-separable
and oriented transform produces a motion-based multiscale decomposition for video that isolates motion along
different directions in its subbands and prevents from directions mixing that appear in subbands of 3-D ordinary
wavelet transform. In addition, we use our denoising algorithm in 2-D complex wavelet transform, where the 2-D
transform is applied to each frame individually. Although our method is simple in its implementation, our
denoising results achieve better performance than several methods visually and regarding peak signal-to-noise
ratio (PSNR). |
|
قیمت |
-
برای اعضای سایت : ۱٠٠,٠٠٠ ریال
-
برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
-
برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
|
خرید مقاله
|
|
.gif){kind=icon}