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pro vyhledávání: '"Salih Dikbas"'
Autor:
Yucel Altunbasak, Salih Dikbas
Publikováno v:
IEEE Transactions on Image Processing. 22:2931-2945
In this paper, a new low-complexity true-motion estimation (TME) algorithm is proposed for video processing applications, such as motion-compensated temporal frame interpolation (MCTFI) or motion-compensated frame rate up-conversion (MCFRUC). Regular
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 20:1047-1051
In this letter, a new fast motion estimation (FME) algorithm capable of producing sub-sample motion vectors at low computational-complexity is proposed. Unlike existing FME algorithms, the proposed algorithm considers the low complexity sub-sample ac
Autor:
Salih Dikbas, Fan Zhai
Publikováno v:
Signal Processing: Image Communication. 25:345-351
Video frame memory compression has gained increased popularity in video processing ICs to save external memory storage size and reduce memory access bandwidth. This technique is especially important in portable devices where efficient use of energy i
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 18(9)
A general framework based on histogram equalization for image contrast enhancement is presented. In this framework, contrast enhancement is posed as an optimization problem that minimizes a cost function. Histogram equalization is an effective techni
Autor:
Salih Dikbas, Tarik Arici
Publikováno v:
ICIP (1)
Local contrast enhancement (LCE) gives a more lively look to an image or video. With a larger difference of a pixel's luma value from its local mean, the eye needs less time to adjust to that local region for a better contrast sensitivity. Since the
Publikováno v:
MMSP
An unsharp masking type local contrast enhancement method that uses spatially adaptive 2-dimensional (2-D) recursive filters is presented. The proposed 2-D recursive filters are a family of exponential smoothing filters. Three different forms are pro