Lossless Color Image Compression Based on Rct and Context Adaptive Coding

Compression is used to decrease the number of bits required to store and transmit images without any measurable loss of information. Lossless color image compression for an image in RGB color model is done by a Reversible Color Transformation. It converts RGB to YUV color model. Y component is encoded by method called Lifting Wavelet Transform (LWT) with Huffman coding. The lifting scheme is a technique for both designing wavelets and performing the Discrete Wavelet Transform. To merge the steps and designed in wavelet filters while performing the wavelet transform. The overall signal variation is suppressed by the color transform and the prediction error is reduced in chrominance channel. The proposed method used for hierarchical scheme to encode the chrominance image. Under this process, the chrominance image is decomposed by even row and odd row image. This decomposed image is compressed using arithmetic coding and decoded to get the original image using color reverse transformation after the image can be reconstructed and performance measure can be calculated.