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Discrete wavelet transform (DWT) is a mathematical technique that provides a new method for signal processing. It decomposes a signal in the time domain by using dilated / contracted and translated versions of a single basis function. The 2-D DWT is highly computation intensive and many of its application need real-time processing to deliver better performance. The 2-D DWT is currently implemented in very large scale integration (VLSI) system to meet the space-time requirement of various real-time applications. Several design schemes have been suggested for efficient implementation of 2-D DWT in a VLSI system. The proposed 2-D DWT is implementation in Vedic multiplier with kogge stone adder. This design is efficient area and minimized delay in existing design.