EFFICIENT DOCUMENT COMPRESSION USING INTRA FRAME PREDICTION TECTHNIQUE

Abstract

Compression is the reduction of the irrelevant or redundant data, in order to save space or transmission time. Scanned document is compressed to reduce the requirement of the storage space. This paper proposes, an Advanced Document Coding (ADC), which was a H.264/AVC (Advance Video Coding) video coding standard for compressing the scanned document. During encoding phase, intra-frame and inter-frame prediction technique is used to reduce the redundancy of the image data. Intra-frame prediction technique is performed relative to information that is contained only within the current frame and not relative to any other frame. The Inter-frame prediction technique means only changes in the image from the previous subpages. This prediction generates residual data that can be transformed and encoded using Context Adaptive Binary Arithmetic Coding (CABAC). In the decoding process, Arithmetic decoding, inverse transform are used to assemble the final document page. The proposed work is analyzed by Peak Signal to Noise Ratio (PSNR), which is calculated by using global Mean Square Error (MSE). The result reveals that, ADC improves the encoding efficiency than the JPEG2000 in terms of PSNR value.