Partitioning of digital images using inclusion hierarchies with contraction mapping
Neelam Yadav, Piyush Kumar Tripathi, Sajjan Lal Maurya · Indian Journal of Computer Science and Engineering · 2021
High-quality images often involve large pixel data and more space for storage and thus not transmittable rapidly.Such an image data inter alia compressed video files and streams constitute significant share in internet traffic.Various image compression techniques have been developed primarily using contraction mapping that subject image to partitioning in domain and range blocks.Specialized fractal image compression methods then exploit the self similarity property of the image as a whole or its parts.Thus, the partitioning strategy finds a crucial role in achieving better rate of data compression with acceptable quality of the output image.This paper highlights few partitioning methods and subsequently defines the partitioning curve with example from utility point.Further, a novel and efficient partitioning method is proposed taking into account the centre of distribution of the clusters with contraction mapping.