Feature Preserving Lossy Image Compression Using Nonlinear PDE's
نویسندگان
چکیده
منابع مشابه
Image Structure Preserving of Lossy Compression in the Sense of Perceptual Distortion When Using Anisotropic Diffusion Preprocessing
In this paper we show how the image structure can be better preserved at lossy compression, when compression artifact is reduced with perceptually adaptive filtering by means of anisotropic diffusion, performed on the image before coding. Adaptive filtering extracts and preserves the important visual information, and it will be discussed in the context of the non-linear scale-space theory. Amon...
متن کاملON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS
The pioneer work of image compression/reconstruction based onfuzzy relational equations (ICF) and the related works are introduced. TheICF regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. The compression/reconstruction of ICF correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.Optimizations of ICF can be consequ...
متن کاملContourlet Based Lossy Image Coder with Edge Preserving
In this paper we present a lossy image coder based in multiscale and directional contourlet transform which allows edge preserving in decompressed images. The preserving task is made by capture the edge points of an image using a robust and efficient edge detector known as Smallest Univalue Segment Assimilating Nucleus (SUSAN). The resulting edges coordinates are used as a priori knowledge of t...
متن کاملفشردهسازی تصویر با کمک حذف و کدگذاری هوشمندانه اطلاعات تصویر و بازسازی آن با استفاده از الگوریتم های ترمیم تصویر
Compression can be done by lossy or lossless methods. The lossy methods have been used more widely than the lossless compression. Although, many methods for image compression have been proposed yet, the methods using intelligent skipping proper to the visual models has not been considered in the literature. Image inpainting refers to the application of sophisticated algorithms to replace lost o...
متن کاملSPIHT Modification for Edge Preserving Wavelet Lossy Image Coding: An Application for Automatic Inspection
In this paper, we address the problem of design a wavelet lossy image coder that allows preservation of image features such as edges using a modified version of SPIHT algorithm. The modification is made by changing the concept of pixel significance, a coefficient is selected not only by magnitude but as part of a Feature Of Interest (FOI) map obtained with SUSAN edge detector and mapping the co...
متن کامل