Micro USA, Inc. has designed and built an Electro-Optical (EO) system for the detection and surveillance of submerged
objects in harbor and open ocean waters. The system consists of a digital camera and advanced image processing
software. The camera system uses a custom designed CMOS light sensor array to facilitate the detection of low contrast
underwater targets. The software system uses wavelet-based image processing to remove atmospheric and ocean
reflectance as well as other noise. Target detection is achieved through a suite of optimal channel prediction algorithms.
The novelties of the system are (a) camera calibration routine to remove pixel non-linearities, non-uniformities and lens
effect, (b) adaptive algorithms for low-contrast detection. Our system has been tested in San Diego harbor waters and
initial results indicate that we can detect small (2 feet diameter), low-reflectance (5%) targets underwater to greater than
2 diffusion depth (DD). This diffusion depth translates to about 25 feet in harbor waters.
Course Instructor
SC875: Introduction to Image and Video Compression
The focus of this short course is to introduce the audience to the basics of digital image and video compression, and enable them to apply these techniques to their projects. The attendees will learn how lossless and lossy compression schemes work on still images and video. The audience will become familiar with Differential Pulse Code Modulation (DPCM), Discrete Fourier Transform (DCT) and Discrete Wavelet Transform (DWT) in the context of image and video compression. Attendees will also learn some of the popular compression standards in use for TV and wireless communications such as MPEG and H.264. Due to the limited duration of this short course, the contents are dealt with less mathematical rigor.
This course deals with the theory of digital image processing. The focus of this short course is to introduce the audience to basics of digital image processing and to motivate them to learn the subject in depth and apply the concepts in their projects. The attendees learn basic techniques involved in improving a picture quality as in image sharpening or contrast enhancement. Image transforms deal with the representation of an image in orthogonal basis images. They are useful in image compression, classification and understanding. This course has been taught several times at senior undergraduate level by the author at San Diego State University and other institutions. However, due to the limited duration of this short course, the contents are dealt with less mathematical rigor.
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