By Y.. Chen
ISBN-10: 9533070269
ISBN-13: 9789533070261
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Extra resources for Image Processing
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This result is justified by the fact that in the case of binary images the number of extracted blocks is low while blocks’ area is increased and thus according to (5)(6), the whole processing is less time consuming. The corresponding statistics of applying ISR to the binary images are depicted in the following Table 5, where it can be observed that the number of extracted blocks is small indeed. Block Extraction Time(msecs) Num. of Blocks Num. 1810 16384 1394 1299 1295 2 2 2 2 Table 5. Performance statistics of applying ISR to the binary benchmark images.
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2007b). Another goal of this chapter is to demonstrate the possibility to implement the filters in order to process the image or sequence in real time by means of use of the Texas Instruments DSP TMS320C6701 and DSP TMS320C6711 to demonstrate that the proposed methods potentially could provide a real-time solution to quality video transmission. Extensive simulation results with different gray scale and color images and video sequences have demonstrated that the proposed filters consistently outperform other filters by balancing the tradeoff between noise suppression, fine detail preservation, and color retention.