Abstract
Microlens array (MLA) errors in plenoptic cameras can cause the confusion or mismatching of 4D spatio-angular information in the image space, significantly affecting the accuracy and efficiency of target reconstruction. In this paper, we present a high-accuracy correction method for light fields distorted by MLA errors. Subpixel feature points are extracted from the microlens subimages of a raw image to obtain correction matrices and perform registration of the corresponding subimages at a subpixel level. The proposed method is applied for correcting MLA errors of two different categories in light-field images, namely form errors and orientation errors. Experimental results show that the proposed method can rectify the geometric and intensity distortions of raw images accurately and improve the quality of light-field refocusing. Qualitative and quantitative comparisons between images before and after correction verify the performance of our method in terms of accuracy, stability, and adaptability.
Highlights
Plenoptic imaging is an advanced computational photography technique that can obtain both spatial and angular information of light rays in a single exposure [1,2]
Whenever the microlens array (MLA) incurs in form or orientation error, the subimages get mapped into a distorted image on the sensor plane
We verify the proposed models and correction method by comparing with previous algorithms and present various experimental results on simulated datasets to assess the performance of the proposed method
Summary
Plenoptic imaging is an advanced computational photography technique that can obtain both spatial and angular information of light rays in a single exposure [1,2]. The retention of radiation information in the angular dimension provides the necessary light-field data for altering the viewpoints or focusing depth of the target scene, which enables the capabilities of depth estimation, dynamic capture, and volumetric reconstruction [2,3,4,5]. This means that plenoptic imaging systems can be used as sensors for making measurements in complex scenarios, such as high-temperature flames [6,7,8], 3D fluid flow fields [9,10], and organ microtopography [11]. In artificial compound-eye imaging sensors and other stretchable optoelectronic imaging systems [12,13], the use of improved MLA structures such as elastomeric MLAs and curved
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