Node Elimination Approach For Low Bit-Rate Content-Adaptive Mesh-Based Image Coding

In this paper, a new method for low bit-rate content-adaptive mesh-based image coding is proposed. This method employs feature map extraction for node distribution at specific threshold levels to achieve higher density placement of initial nodes for regions that contain high frequency features whereas and conversely sparse placement of initial nodes for smooth regions. Insignificant nodes are largely removed using a subsequent node elimination scheme. The Hilbert scan is then applied before quantization and entropy coding to reduce amounts of transmitted information. The proposed method is well-suited for image and video coding at very low bit rates, as processing results demonstrate that it provides good subjective and objective image quality at a lower number of required bits.