Unified approach to image distortion

We propose a new unified approach to deal with two formulations of image distortion and a method for estimating the distortion parameters by using the both formulation. Although all of conventional researches are based on the same distortion model proposed in an early study in photogrammetry, two different formulations have been used and developed by different papers separately, and this has caused a confusion for developing calibration methods. The proposed method is based on image registration and consists of nonlinear optimization to estimate parameters including view change and radial distortion.16th International Conference on Pattern Recognition, poster ; Place : Quebec, Canada ; Date : 11-15 August, 200

Convex Optimization Based Bit Allocation for Light Field Compression under Weighting and Consistency Constraints

Compared with conventional image and video, light field images introduce the weight channel, as well as the visual consistency of rendered view, information that has to be taken into account when compressing the pseudo-temporal-sequence (PTS) created from light field images. In this paper, we propose a novel frame level bit allocation framework for PTS coding. A joint model that measures weighted distortion and visual consistency, combined with an iterative encoding system, yields the optimal bit allocation for each frame by solving a convex optimization problem. Experimental results show that the proposed framework is effective in producing desired distortion distribution based on weights, and achieves up to 24.7% BD-rate reduction comparing to the default rate control algorithm.Comment: published in IEEE Data Compression Conference, 201