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2 2012

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Colour interpolation for sub-pixel Image Based Rendering

Okarma K., Tecław M.

Poznan University of Technology Academic Journals. Electrical Engineering

2012

No. 71

193--199

Image Based Rendering (IBR) is one of the most efficient approaches to the real-time computer visualisation. Applying the warping equation, being the essence of this method, it is possible to render the image observed by a virtual camera assuming the knowledge of the image and the depth map taken by another camera or cameras located at different positions. Nevertheless, depending on the geometrical configuration of the reference and destination (virtual) cameras some holes in the destination image can be observed. Their presence is caused by the fact that some fragments of objects visible from the destination camera may be not present in the reference images. A typical approach to filling such holes is splatting but typical algorithms usually cause the loss of details. Nevertheless, using the sub-pixel IBR based on the combination of the images taken from two or more cameras, the problem of missing data can be partially solved due to the possibility of the 2D or 3D interpolation, considering also the depth values of the projected points in the second case. The results obtained using the proposed approach have been verified using some recently proposed full-reference image quality assessment methods using the synthetic image of the 3D object as the reference image.

Zastosowanie nowoczesnych metod oceny jakości obrazów do weryfikacji algorytmów splattingu w subpikselowej metodzie Image Based Rendering

Okarma K., Tecław M.

Pomiary Automatyka Kontrola

2012

R. 58, nr 6

493-497

W artykule przedstawiono możliwości wykorzystania nowoczesnych wskaźników jakości obrazów do wyboru i weryfikacji algorytmu splattingu służącego do wypełniania brakujących pikseli w metodzie IBR, a także do wyboru obrazu wyjściowego dla algorytmu splattingu. Dzięki zastosowaniu metod automatycznej oceny jakości obrazów możliwy jest wybór właściwego algorytmu splattingu wykorzystującego współrzędne uzyskiwanych punktów z dokładnością subpikselową, co zapewnia dużo wyższą jakość obrazu wynikowego.

The paper presents possibilities of using some modern image quality assessment methods for choice and verification of the splatting algorithm used to fill some missing pixels in the IBR method, as well as for selection of the basic output image for the splatting algorithm. By using automatic image quality assessment methods, it is possible to choose the accurate splatting algorithm which utilizes the coordinates of points with sub-pixel accuracy and provides much higher quality of the output image. The first discussed approach is the idea of Vector Median Splatting based on the vector median filters used mainly for multichannel nonlinear filtering purposes. Since the main goal of splatting is filling the missing pixels by the most similar colour to its nearest neighbourhood, preventing the sharpness of the obtained image, such algorithm allows achieving satisfactory results. Nevertheless, even better results can be achieved by some sub-pixel based methods preventing the loss of information caused by the rounding of the pixels coordinates after the warping operation. The results of the application of some modified algorithms have been verified using some modern image quality assessment methods, mainly based on the similarity of images, such as e.g. Structural Similarity or recently proposed Feature Similarity index. The advantages of the sub-pixel splatting algorithms have been confirmed by higher values of all image quality metrics calculated for the achieved destination images.