Fundamentals of Digital Image Processing and Basic Concept of Classification

Abstract

We have to classify and analyze digital images for different study and purposes. Digital images are obtained from sources like camera, satellites, aircraft etc. Data obtained from satellites or aircraft i.e, the space based and remote sensing data needs to be corrected as they are usually geometrically distorted due to their acquisition system and the movements of the platform of aircraft. Processing and pre-processing are necessary for such correction prior to image classification. Image Processing is a technique which is used to enhance raw images received from cameras, satellites, space probes, aircrafts etc. and Digital image processing is the technique of processing images in the form of discrete digital brightness using digital circuits or digital computers. Image analysis and classification starts when processing and pre-processing ends.

Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks

“…Image processing strategies for SN diminishment have been inquired about for upgrading the quality of US images and expanding the investigative competencies of therapeutic US images [4]. The primary method for SN removal is the homomorphic wiener filter [5], adaptive weighted median filter [6], but this fails to preserve the valuable information of the original image. The comprehensive study of measurable features of the speckle noise has been presented in [7].…”

Lossless JPEG-Huffman Model for Digital Image Compression

“…This type of images is often required when accuracy and precision are of necessity [5]. Image processing involves carrying out selected or pre-determined operations which include enhancement, restoration, segmentation, representation and compression [6][7][8][9][10]. Image compression is a storage optimization strategy which involves the reduction of data through elimination of all redundancies for acceptable quality and representation.…”