Fractal image compression is a technique based on the representation of an image by a
contractive transform, on the space of images, for which the fixed point is close to the original …

The field of smooth vector graphics explores the representation, creation, rasterization, and
automatic generation of light-weight image representations, frequently used for scalable …

In today's turbulent international situation, regional conflicts often occur, and the game
between major countries has been continuing, which is not only reflected in the military …

In this paper, we explore the use of a content-adaptive mesh model (CAMM) for tomographic
image reconstruction. In the proposed framework, the image to be reconstructed is first …

Mesh modeling is an important problem with many applications in image processing. A key
issue in mesh modeling is how to generate a mesh structure that well represents an image …

In this paper, Delaunay triangulation is applied for the extraction of text areas in a document
image. By representing the location of connected components in a document image with …

Fractal image compression is a new technique for encoding images compactly. It builds on
local self-similarities within images. Image blocks are seen as rescaled and intensity …

A rapidly increasing portion of internet traffic is dominated by requests from mobile devices
with limited and metered bandwidth constraints. To satisfy these requests, it has become …

This paper introduces evolutionary computing to fractal image compression. In fractal image
compression a partitioning of the image into ranges is required. We propose to use …

Based on the greedy-point removal (GPR) scheme of Demaret and Iske, a simple yet highly
effective framework for constructing triangle-mesh representations of images, called GPRFS …