Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.

Computer and Robot Vision

Over the years extensive studies have been carried out to apply coherent optics methods in real-time communications and image transmission. This is especially true when a large amount of information needs to be processed, e.g., in high-resolution imaging. The recent progress in data-processing networks and communication systems has considerably increased the capacity of information exchange. However, the transmitted data can be intercepted by nonauthorized people. This explains why considerable effort is being devoted at the current time to data encryption and secure transmission. In addition, only a small part of the overall information is really useful for many applications. Consequently, applications can tolerate information compression that requires important processing when the transmission bit rate is taken into account. To enable efficient and secure information exchange, it is often necessary to reduce the amount of transmitted information. In this context, much work has been undertaken using the principle of coherent optics filtering for selecting relevant information and encrypting it. Compression and encryption operations are often carried out separately, although they are strongly related and can influence each other. Optical processing methodologies, based on filtering, are described that are applicable to transmission and/or data storage. Finally, the advantages and limitations of a set of optical compression and encryption methods are discussed.

https://hal.archives-ouvertes.fr/docs/00/51/69/80/PDF/20.pdf

Optical image compression and encryption methods

http://www.sidthomas.net/pdf/paperpdfs/108.pdf

Bringing medicinal plants into cultivation: opportunities and challenges for biotechnology

When laser light illuminates a diffuse object, it produces a random interference effect known as a speckle pattern. If there is movement in the object, the speckles fluctuate in intensity. These fluctuations can provide infor- mation about the movement. A simple way of accessing this information is to image the speckle pattern with an exposure time longer than the shortest speckle fluctuation time scale—the fluctuations cause a blurring of the speckle, leading to a reduction in the local speckle contrast. Thus, velocity distributions are coded as speckle con- trast variations. The same information can be obtained by using the Doppler effect, but producing a two-dimen- sional Doppler map requires either scanning of the laser beam or imaging with a high-speed camera: laser speckle contrast imaging (LSCI) avoids the need to scan and can be performed with a normal CCD- or CMOS-camera. LSCI is used primarily to map flow systems, especially blood flow. The development of LSCI is reviewed and its lim- itations and problems are investigated. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.

/pdf/laser-speckle-contrast-imaging-theoretical-and-practical-17q04l6pa3.pdf

Laser speckle contrast imaging: theoretical and practical limitations

Bruise damage measurement and analysis of fresh horticultural produce-A review

We describe some aspects of the measurement of dynamic speckle activity. We propose the use of the co-occurrence matrix of the time history of the intensity of a speckle pattern. Then we suggest a measure of the activity based on the use of one of its second order moments. Some numerical simulations were performed for testing purposes. The method was applied to the study of the drying of paint and was compared with gravimetric measurements. Experimental results obtained are shown and a good correlation is obtained.

Speckle time evolution characterization by the co-occurrence matrix analysis

We present a display to distinguish loci of equal activity in samples showing dynamic speckle patterns. Regions differing in their activity are shown as different gray levels. We define the generalized differences and the weighted generalized difference operations and we compare the results with previously reported methods. Results obtained with seeds are shown.

Display of local activity using dynamical speckle patterns

http://sedici.unlp.edu.ar/bitstream/handle/10915/80656/Documento_completo.pdf?sequence=1

Ricardo Arizaga

Papers

Speckle time evolution characterization by the co-occurrence matrix analysis

Display of local activity using dynamical speckle patterns

Assessment of Seed Viability by Laser Speckle Techniques

Bio-speckle assessment of bruising in fruits

Detection of fungi in beans by the laser biospeckle technique