Multiresolution Region-Based Image Compression

图像压缩减少了表示图像所需的比特数，从而使图像和视频信息能够更有效地存储，或者更快地从一个地方传输到另一个地方。 某些压缩方法会降低图像的质量。 这项研究涉及设计压缩方法，检查图像的内容，以控制或消除图像的某些部分的退化。 其目的是提高图像的视觉质量或科学实用性。 这项工作还涉及到基于区域的图像和视频压缩的多分辨率方法的设计，以及开发新的质量评估方法，这样的代码。 将图像划分成区域可以允许压缩算法在图像的不同部分中采用不同的编码策略，并且可以允许以比其他区域更高的质量或更精细的分辨率来表示一些区域。 在我们的调查过程中，将检查在不同级别的分辨率的分割，位分配和代码选择的方法。 教育计划的主要目标是促进互动和实践学习，对我建议的学生来说是高度可及和支持的，并促进跨学科和学术/工业话语。

Image Compression reduces the number of bits required to represent an image, and thereby allows image and video information to be stored more efficiently, or to be transmitted much faster from one place to another. Some compression methods degrade the quality of the image. This research involves designing compression methods which examine the content of an image in order to control or eliminate the degradation for some portions of the image. The intent is to increase the visual quality or scientific utility of the images. This work also involves the design of multiresolution methods for region-based image and video compression, and the development of novel methods for quality evaluation for such codes. Dividing an image into regions can allow a compression algorithm to employ different encoding strategies in different portions of the image, and can allow some regions to be represented at higher quality or finer resolution than others. Methods for segmentation, bit allocation, and code selection at different levels of resolution will be examined in the course of our investigations. The main objects of the education plan are to promote interactive and hands-on learning, to be highly accessible and supportive to students whom I advise, and to facilitate interdisciplinary as well as academic/industrial discourse.