  Differential pulse-code modulation (DPCM) is recently coupled with uniform
scalar quantization (SQ) to improve the rate-distortion (RD) performance for
the block-based quantized compressive sensing (CS) of images. In this
framework, for each block's CS measurements, a prediction is generated based on
the reconstructed CS measurements of the previous blocks and subtracted from
measurements of the current block in the measurement domain. The resulting
residual is then quantized by uniform SQ to generate the quantization index.
However, the entropy coding is still required to remove the statistical
redundancies between the quantization indices and generate the bitstream. Thus,
in this paper, we proposed an arithmetic coding scheme for the quantization
index within DPCM-plus-SQ framework by analyzing their statistics. Experimental
results demonstrate that further RD performance can be achieved compared to
original DPCM-plus-SQ scheme and transform coefficient coding in CABAC.
