Merged U-NET for Bone Tumors X-Ray Images Segmentation

in integral photography, one important acquisition method of light field, a 3D scene is captured from different perspectives and the data with repetitive views is contained in one integral image. To encode such integral images, 2D hierarchical coding structure (2D-HCS) is used to exploit the dependency among images of different views. However, the fixed 2D-HCS cannot fully explore the inter-view dependency, making the coding not optimal. Therefore, in this paper, an inter-view dependent rate-distortion optimization (RDO) method is proposed for light field integral image coding under 2D-HCS. Experimental results demonstrate that, compared to 2D-HCS, the proposed method can achieve averaged {Y, U, V} BD-rate savings of {13.2%, 9.2%, 12.0%} only by adapting the Lagrange Multiplier and up to {21.6%, 18.4%, 21.8%} together with QP adaptation.