A spatiotemporal image sequence restoration algorithm

Rares, A.; Reinders, Marcel J. T.; Biemond, J.; Lagendijk, Reginald L.

doi:10.1109/icip.2002.1040086

Cited by 4 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is observed that error in the estimated motion arises mainly due to complicated motion, and artefacts such as overlaid text, crosswire, etc. Non texture inpainting method has been used to overcome erroneous motion estimate, which can then be utilized to perform temporal restoration [10]. However, in presence of severe artefacts, the spatial restoration can still be affected by degradations.…”

Section: Introductionmentioning

confidence: 99%

“…It now remains to device a suitable method to copy this information from the available frames to the damaged frame. Various researchers describe this method as temporal restoration [9], and use it in conjunction with traditional image inpainting [10]. These methods are well suited for critical applications where the missing data must be filled with none other than the correct data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High Fidelity Inpainting for Critical Applications Using Image Fusion

Mishra

Sharma

Rakshit

2007

2007 International Conference on Computing: Theory and Applications (ICCTA'07)

View full text Add to dashboard Cite

We propose a novel image restoration technique based on complementary information present in two or more images. While standalone image inpainting techniques fill the missing information artificially, use of spatiotemporal image sequence is suitable and reliable for critical applications, since it gathers the unavailable information in one image from other images in the sequence. There are two important issues to be dealt with before utilizing such sequences. Firstly, the images should be correctly registered in order to correctly access the undamaged images for inpainting the damaged one. Secondly, the illumination conditions should be taken care of, without which shadowing effects are generated since two images can differ in the illumination conditions, as well as sensor gain settings. In this work, a RANSAC based registration technique is used to perform efficient registration in presence of artefacts. Next, the dynamic range of the images are equalized to achieve illumination coherence. Further, we use fusion methods to incorporate information from all undamaged images into the damaged image. Cosmetic inpainting is used only if no other information is present. This work has uses in annotation removal from military and medical images and video, restoration of damaged video frames, etc. The results confirm the efficiency of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High Fidelity Inpainting for Critical Applications Using Image Fusion

Mishra

Sharma

Rakshit

2007

2007 International Conference on Computing: Theory and Applications (ICCTA'07)

View full text Add to dashboard Cite

show abstract

“…Another median filtering based approach reported in [11] [12] uses a variable median filter window. A spatio-temporal method of line scratch restoration is given in [13] [14], in which frame is used for temporally inpainting and thereafter spatially smooth interpolation method is used. Missing data treatment using bayesian framework is reported in [15].…”

Section: Introductionmentioning

confidence: 99%

Line scratch restoration using flow vectors of spatio-temporal video cube

Kumar

Gupta

Venkatesh

2014

2014 Annual IEEE India Conference (INDICON)

View full text Add to dashboard Cite

Line scratch is a prominent artefact in old films. In this paper, restoration of line scratch is proposed using spatio -temporal video cube. Video is considered as a cube and we assume that , and are three flow directions of frames , and respectively. Vertical and horizontal line scratch is a line of some width in frame, but it appears as a rectangular patch in or frame. Such type of patches produce a discontinuity in the flow vector of these frames. Restoration method is divided into two steps. In the first step the discontinuity in flow vector is smoothed by applying a moving average filter and corrupted pixels in the patch area are recovered by transforming the backward and forward frames. Most of the missing data is recovered by this approach. A median filter is then applied on the scratch location of frame for smoothing the pixels. The proposed spatio-temporal technique has removed vertical and horizontal line scratches in old film video. The comparison of the proposed algorithm with existing methods validates the improved performance of our result.

show abstract