Image Resolution on Multiple Parameters using Spatial and Transform Domain: A Systematic Analysis

Kapil Joshi, Ajesh F, V. Singh, Sunil Ghildiyal, Prashant Chaudhary, Gunjan Chhabra
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Abstract

Image processing is a process to identify the differ- ent patterns in multiple scale. This research explains the funda- mentals of digital image processing and this study provides the significant area of research in image enhancement and deal with multiple parameters on spatial and transform domain. On the other side Image processing which aims to enhance the visibility of input images and extract useful data from them. The most common image transformation is the Fourier transform. There are many applications for the Fourier Transform. Examining photos to identify items and determine their relevance is known as "image processing." A picture analyst examines the distant detected data and makes an effort to find, name, categorise, quantify, and the importance of tangible and cultural items, their through logical processes, patterns and spatial relationships are created.
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基于空间和变换域的多参数图像分辨率系统分析
图像处理是在多尺度下识别不同模式的过程。本研究阐述了数字图像处理的基本原理,为图像增强和处理空间域和变换域的多参数提供了重要的研究领域。另一方面是图像处理,其目的是增强输入图像的可见性,并从中提取有用的数据。最常见的图像变换是傅里叶变换。傅里叶变换有很多应用。通过检查照片来识别物品并确定它们的相关性被称为“图像处理”。图片分析人员检查远程检测到的数据,并努力寻找,命名,分类,量化,以及有形和文化项目的重要性,通过逻辑过程,模式和空间关系被创建。
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