An image multiple description coding method is proposed based on compressive sensing theory. It measures the image by block compressive sensing technology on the encoding side, and then divides the result matrix into many descriptions by grouping equally in the rows. In the decoding side, it reconstructs the image by received descriptions. The more the descriptions are received, the better the quality of the reconstructed image is. Dividing the result matrix into groups directly can generate many descriptions easily and reduce computational complexity on the encoding side. Experimental results show that, in the same experimental conditions, the proposed method exhibits faster encoding speed and higher reconstruction image quality than other methods.