Perception adaptive temporal TV-noise reduction using contour preserving prefilter techniques

Jostschulte, K.; Amer, A.; Schu, M.; Schröder, Heiko

doi:10.1109/30.713239

Cited by 27 publications

(12 citation statements)

References 5 publications

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“…Finally, the inverse wavelet transform yields the denoised video sequence . 2 We define the MAD for each block in the wavelet band , as follows: (2) where denotes the index of a block within the current frame, the current frame index, and a MV. represents a set of spatial positions belonging to the given block , where and represent the number of rows and columns in the block, respectively.…”

Section: Proposed Video Denoising Methodsmentioning

confidence: 99%

“…Recently, a number of video denoising methods have been proposed, e.g., [2]- [15]. A thorough review of classical noise reduction algorithms for digital image sequences is presented in [13].…”

Section: Introductionmentioning

confidence: 99%

“…The spatio-temporal filters based on the above principles are either nonseparable ("fully 3-D") [2]- [6], or separable ("2-D + 1-D") [7]- [14]. Moreover, separable filters come in three variants: "spatial-first" filters, where spatial filtering is performed before temporal filtering [12]- [14]; "temporal-first" filters, where the order is reversed [7], [10], [11]; and "combined" filters where two filters are applied in parallel with their outputs combined (usually through weighted averaging) [9], [13], [14].…”

Section: Introductionmentioning

confidence: 99%

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Wavelet-Domain Video Denoising Based on Reliability Measures

Zlokolica

Pižurica

Philips

2006

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-This paper proposes a novel video denoising method based on nondecimated wavelet band filtering. In the proposed method, motion estimation and adaptive recursive temporal filtering are performed in a closed loop, followed by an intra-frame spatially adaptive filter. All processing occurs in the wavelet domain.The paper introduces new wavelet-based motion reliability measures. We make a difference between motion reliability per orientation and reliability per wavelet band. These two reliability measures are employed in different stages of the proposed denoising scheme. The reliability per orientation (horizontal and vertical) measure is used in the proposed motion estimation scheme while the reliability of the estimated motion vectors (MVs) per wavelet band is utilized for subsequent adaptive temporal and spatial filtering. We propose a novel cost function for motion estimation which takes into account the spatial orientation of image structures and their motion matching values. Our motion estimation approach is a novel wavelet-domain three-step scheme, where the refinement of MVs in each step is determined based on the proposed motion reliabilities per orientation. The temporal filtering is performed separately in each wavelet band along the estimated motion trajectory and the parameters of the temporal filter depend on the motion reliabilities per wavelet band. The final spatial filtering step employs an adaptive smoothing of wavelet coefficients that yields a stronger filtering at the positions where the temporal filter was less effective.The results on various grayscale sequences demonstrate that the proposed filter outperforms several state-of-the-art filters visually (as judged by a small test panel) as well as in terms of peak signal-to-noise ratio.

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Section: Proposed Video Denoising Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wavelet-Domain Video Denoising Based on Reliability Measures

Zlokolica

Pižurica

Philips

2006

IEEE Trans. Circuits Syst. Video Technol.

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“…Pixels are temporally combined using a recursive low-pass temporal filter by the incorporation of motion estimation and compensation. Jostschulte et al [18] presented a spatialtemporal noise reduction system, which filters video both spatially and temporally while preserving edge. Bennett and McMillan [19] developed a robust LDR video enhancement system using per-pixel virtual exposure.…”

Section: Rendering Hdr Video For Displaymentioning

confidence: 99%

A multicurve tone mapping operator for the display of high dynamic range image and video

Chen¹,

Qiu²

2007

IET 4th European Conference on Visual Media Production (CVMP 2007)

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This paper presents a novel method for tone mapping high dynamic range images and videos for display in conventional low dynamic range devices. The new multi-curve method uses tone mapping curves that are adaptive to local luminance levels. The new method has the computational simplicity of curve based tone mapping methods and achieves results comparable to spatial operator methods. When applying the operator to render high dynamic range video, we introduce a bilateral style temporal filtering which successfully avoids undesirable shot noise and ghosting effects. It is also shown that our HDR tone mapping operator is a useful image enhancement method for standard format (8bits/pixel) images.

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“…It is achieved through some form of linear or non-linear operation on correlated picture elements. In the recent past a number of non-linear techniques for video processing have been proposed [1][2][3][4] and were proved superior to linear techniques.…”

Section: Introductionmentioning

confidence: 99%

Video Denoising Using Multiple Class Averaging with Multiresolution

Zlokolica¹,

Pižurica²,

Philips³

2003

Visual Content Processing and Representation

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Abstract. This paper presents a non-linear technique for noise reduction in video that is suitable for real-time processing. The proposed algorithm automatically adapts to detected levels of detail and motion, but also to the noise level, provided it is short-tail noise, such as Gaussian noise. It uses a one-level wavelet decomposition, and performs independent processing in four different bands in the wavelet domain. The non-decimated transform is used because it leads to better results for image/video denoising than the decimated transform. The results show that from both a PSNR and a visual quality, the proposed filter outperforms the other state of the art filters for different image sequences.

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Perception adaptive temporal TV-noise reduction using contour preserving prefilter techniques

Cited by 27 publications

References 5 publications

Wavelet-Domain Video Denoising Based on Reliability Measures

Wavelet-Domain Video Denoising Based on Reliability Measures

A multicurve tone mapping operator for the display of high dynamic range image and video

Video Denoising Using Multiple Class Averaging with Multiresolution

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