Chapter 3

Image Transforms

CHAPTER OBJECTIVES
  • To explore the use of various transforms in digital image processing.
  • Fourier transform—simple, powerful and widely used transform for image enhancement and image reconstruction.
  • Discrete cosine transform—widely used for image compression and compression standards.
  • Hotelling transform—useful for image recognition and aligning the object with principal eigen vector axis.
3.1 INTRODUCTION

Spatial and frequency domain approaches are two different approaches in image processing. Most of the spatial domain approaches involve more computations, whereas the frequency domain approaches are more flexible and involve less computation. Hence it is necessary to emphasise the various image transforms ...

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