Digital Signal Processing Reference
In-Depth Information
FIGURE 1.14
Image enhancement.
conditions, the image was improperly exposed in natural light and came out dark. The image pro-
cessing technique called
histogram equalization
(Gozalez and Wintz, 1987) can stretch the light
intensity of an image using the digital information (pixels) to increase image contrast so that detailed
information in the image can easily be seen, as we can see in
Figure 1.14
(b). We will study this
technique in Chapter 14.
1.4
DIGITAL SIGNAL PROCESSING APPLICATIONS
Applications of DSP are increasing in many areas where analog electronics are being replaced by DSP
chips, and new applications are depending on DSP techniques. With the cost of DS processors
decreasing and their performance increasing, DSP will continue to affect engineering design in our
Table 1.1
Applications of Digital Signal Processing
Digital audio and speech
Digital audio coding such as CD players and MP3 players, digital crossover,
digital audio equalizers, digital stereo and surround sound, noise reduction
systems, speech coding, data compression and encryption, speech synthesis
and speech recognition
Digital telephone
Speech recognition, high-speed modems, echo cancellation, speech
synthesizers, DTMF (dual-tone multifrequency) generation and detection,
answering machines
Automobile industry
Active noise control systems, active suspension systems, digital audio and radio,
digital controls, vibration signal analysis
Electronic
communications
Cellular phones, digital telecommunications, wireless LAN (local area
networking), satellite communications
Medical imaging
equipment
ECG analyzers, cardiac monitoring, medical imaging and image recognition,
digital X-rays and image processing
Multimedia
Internet phones, audio and video, hard disk drive electronics, iPhone, iPad,
digital pictures, digital cameras, text-to-voice and voice-to-text technologies
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