{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

01_graylvlx

01_graylvlx - Introduction and Some Basic Gray Level...

This preview shows pages 1–6. Sign up to view the full content.

Introduction and Some Basic Gray Level Transformations COMP344 COMP344 Introduction and Some Basic Gray Level Transformations

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Enhancement Objectives makes an image more suitable than original for specific and problem-oriented applications is often for human perception , viewer is the ultimate judge of how well a particular works Examples COMP344 Introduction and Some Basic Gray Level Transformations
Two Broad Categories 1 spatial domain works with pixels 2 frequency domain works with frequencies COMP344 Introduction and Some Basic Gray Level Transformations

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Spatial Domain f ( x , y ): input image g ( x , y ): output, processed or transformed image g ( x , y ) = T [ f ( x , y )] T : an operator on f ( T = transformation function) T is defined over some neighborhood of ( x , y ) e.g., square or rectangular sub-image area, or a point of 1 × 1 size COMP344 Introduction and Some Basic Gray Level Transformations
Gray-Level Transformation Simplest form of T neighborhood is 1 × 1 (one pixel) Notation: s = T ( r ) r , s denote gray levels of f ( x , y ) and g ( x , y

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 20

01_graylvlx - Introduction and Some Basic Gray Level...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online