رئوس مطالب

  • چکیده
  • کلیدواژه ها
  • 1.مقدمه:
  • 2.روش‌های غیر تطبیقی
  • الف) درون‌یابی نزدیکترین مجاور
  • ب) درون‌یابی دوخطی
  • ج) درون‌یابی دومکعبی
  • 3.روش های تطبیقی
  • الف)درون‌یابی در جهت لبه جدید
  • ب)سه‌گوش سازی متکی بر داده‌ها
  • ج) درون‌یابی مبتنی بر تکرار انحناء
  • 4.مقایسه الگوریتم‌های درون‌یابی
  • 5.نتیجه‌گیری و تحقیق آتی

Abstract

Image enhancement is an important processing task in image processing field. By applying image enhancement, blur or any type of noise in the image can be removed so that the resultant image quality is better. Image enhancement is used in various fields like medical diagnosis, remote sensing, agriculture, geology, oceanography. There are numbers of techniques for image enhancement. Image interpolation is used to do enhancement of any image. This paper gives overview about different interpolation techniques like nearest neighbor, bilinear, bicubic, new edge-directed interpolation (NEDI), data dependent triangulation (DDT), and iterative curvature-based interpolation (ICBI).

Keywords: - -

V. CONCLUSION AND FUTURE WORK

In this paper we have study different image interpolation techniques like non-adaptive and adaptive techniques. We also study that adaptive techniques are better in terms of visual appearance of image but it take more computational time. When time is not an obstacle then we choose the adaptive technique otherwise non-adaptive techniques are preferable. Based on our application we used either of these interpolation techniques.

In future, we will try to combine these adaptive and nonadaptive techniques to overcome their individual’s disadvantages and make the resulting image better in terms of visual appearance and in terms of computational time.

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