Double Compression Efficiency for Image Data Hiding using Integer Wavelet Transform

It is important to reduce image data in transmit and retrieve this data without distortion for many applications such as medical images, military documents, and legal documents. This paper proposes an algorithm that uses a bit-level arithmetic coding to obtain a lossless compressed system through first-level integer wavelet shunting for detailed sub-images. To reduce the data bits, two successive stages of compression are proposed by the discrete cosine transform of the luminance Y channel. The first uses an 8×8 block with a certain threshold value followed & selected triangle zonal region. The second scheme uses an 8×8 block & a certain threshold value followed with selected square zonal region. The results of the dual-stage compression experiments demonstrated its ability to achieve a high compression ratio exceeds to 93% (bit per pixel equals to 0.5) for Y luminance channel while maintaining the quality of the received color original attacked image (Gaussian, Salt& Peppers, and random noise) by about 20 dB than using only one compression stage (discrete cosine transform 8×8 block).