Angular Intra Prediction Based Measurement Coding Algorithm for Compressively Sensed Image

This paper presents an angular measurement intra prediction algorithm compatible with compressive sensing (CS) based image sensors. We propose to apply the idea of H.264 intra prediction and emulate its computation in the measurement compression. More structural rows in the random 0/1 measurement matrix are designed for embedding more precise boundary information of neighboring into the measurements for intra prediction. The proposed algorithm that can be directly applied to the measurements captured by the image sensor. Experiment results show that the proposed algorithm could increase coding efficiency, with 10% BD-rate reduction compared to the state-of-art research. This can significantly save the bandwidth in communication of wireless camera systems to be massively deployed in the era of IoT.