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In terms of storage, the capacity of a storage device can be effectively increased with methods t... more In terms of storage, the capacity of a storage device can be effectively increased with methods that compress a body of data on its way to a storage device and decompresses it when it is retrieved. In terms of communications, the bandwidth of a digital communication link can be effectively increased by compressed dataat the sending end and decompressing data at the receiving end. At any given time, the ability of the Internet to transfer data is fixed. Thus, if data can effectively be compressed wherever possible, significant improvements of data throughput can be achieved. Many files can be combined into one compressed document making sending easier.
A histogram of a digital image with gray levels in the range [0,L-1] is a discrete function given... more A histogram of a digital image with gray levels in the range [0,L-1] is a discrete function given by H(r k) = n k Where r k Kth gray level n k Number of pixels in the image having gray level r k
1. Explain in detail about elements of digital image processing systems Figure 1.24 shows the bas... more 1. Explain in detail about elements of digital image processing systems Figure 1.24 shows the basic components comprising a typical general-purpose system used for digital image processing.The function of each component is discussed in the following paragraphs, starting with image sensing. With reference to sensing, two elements are required to acquire digital images.The first is a physical device that is sensitive to the energy radiated by the object we wish to image.The second, called a digitizer, is a device for converting the output of the physical sensing device into digital form. For instance, in a digital video camera, the sensors produce an electrical output proportional to light intensity.The digitizer converts these outputs to digital data.These topics Specialized image processing hardware usually consists of the digitizer just mentioned, plus hardware that performs other primitive operations, such as an arithmetic logic unit (ALU), which performs arithmetic and logical operations in parallel on entire images. One example of how an ALU is used is in averaging images as quickly as they are digitized, for the purpose of noise reduction. This type of hardware sometimes is called a front-end subsystem, and its most distinguishing characteristic is speed. In other words, this unit performs functions that require fast data throughputs (e.g., digitizing and averaging video images at 30 frames_s) that the typical main computer cannot handle. The computer in an image processing system is a general-purpose computer and can range from a PC to a supercomputer. In dedicated applications, sometimes specially designed computers are used to achieve a required level of performance, but our interest here is on general-purpose image processing systems. In these systems, almost any well-equipped PC-type machine is suitable for offline image processing tasks. Software for image processing consists of specialized modules that perform specific tasks.A well-designed package also includes the capability for the user to write code that, as a minimum, utilizes the specialized modules. More sophisticated software packages allow the integration of those modules and general purpose software commands from at least one computer language.
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