This paper provides an image compression scheme called SBPC algorithm based on subband bit plane coding and integer to integer wavelet transform. SBPC algorithm divides the coefficients of integer to integer wavelet transform into bit planes within each subband which are named as subband bit planes. For these subband bit planes

the algorithm uses simple but effective rate distortion optimization method to determine the coding order. Unlike the JPEG2000 standard

this R D optimized coding order is independent of images. According to the coding order

the coefficient bits are coded by adaptive MQ arithmetic coder. SBPC algorithm can compress an image at any given bit rate or image quality from lossless to lossy

and the coding stream is scalable both in spatial resolution and in image quality. The algorithm can also realize coding of images with region of interest(ROI) by compressing the ROI losslessly. The experiments show that SBPC algorithm is comparable to the float point EZW algorithm and JPEG2000 reversible coding scheme in the coding efficiency

while the coding/decoding speed is much faster than that of the other two algorithms. In addition

SBPC algorithm needs very low memory and its computation complexity is also low.