Differentiation-based multi-resolution approach for lossless image compression

Abstract

Summary form only given. A differentiation-based multi-resolution approach for lossless image compression was presented. The technique used six appropriately weighted adjacent pixels to estimate the predicted pixel intensity. It can also be considered as an additional rule for the seven predictors used by lossless JPEG. The prediction error was decomposed by integer wavelet transform to improve the prediction. The minimum weighted entropy determines the optimal decomposition level of the differentiation-based wavelet transform. The performance of the proposed approach was evaluated and compared with the lossless JPEG and lossless adaptive linear predictor schemes. These two techniques are capable of estimating the present pixel value from the previous pixel values. The computational complexities were greatly reduced due to known values of the predictor coefficients used by the encoder and decoder.