Low complexity image coding algorithm for capsule endoscopy with Bayer color filter array

Abstract

The paper describes image compression algorithm suitable for wireless capsule endoscopy with Bayer color filter array (CFA). Due to power limitation, small size conditions and specific image data format, traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and wavelet transform (DWT) and Huffman entropy coder. Thanks to integer DCT/DWT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.