A New Transform For Irregular Roi Coding Of Two Dimensional Images
作者： Anaswara V. Nath , , Archana V. R , Sreedhu T. Sasi , Sreekumar K.
关键词: Lossy compression 、 Data compression 、 Computer vision 、 Image compression 、 Lossless compression 、 Computer science 、 Block Truncation Coding 、 Transform coding 、 Color Cell Compression 、 Lapped transform 、 Artificial intelligence
摘要: Image compression is the application of data on digital images. can be lossy or lossless compression. Raw from an image sensor obviously contains information about a scene, but it not intrinsically recognizable to human eye. In signal processing, lapped transform type linear discrete block transformation where basis functions overlap boundaries. We propose new shape-adaptive (SA) ,shape-adaptive reversible integer (SA-RLT) method. Region-of interest (ROI) coding algorithms have also been proposed, since observers are always more concerned some special areas, i.e., ROI than background (BG) area. Based SA-RLT and object-based set partitioned embedded coder (OBSPECK), scheme designed for 2D
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