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Improved 8 Point Approximate DCT for Image and Video Compression Requiring Only 14 Additions
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Improved 8-Point Approximate DCT for Image and Video Compression Requiring Only 14 Additions

Category : VLSI


Sub Category : VLSI with MATLAB


Project Code : ITVL39


Project Abstract

Video processing systems such as HEVC requiring low energy consumption needed for the multimedia market has lead to extensive development in fast algorithms for the efficient approximation of 2-D DCT transforms. The DCT is employed in a multitude of compression standards due to its remarkable energy compaction properties. Multiplier-free approximate DCT transforms have been proposed that offer superior compression performance at very low circuit complexity. Such approximations can be realized in digital VLSI hardware using additions and subtractions only, leading to significant reductions in chip area and power consumption compared to conventional DCTs and integer transforms. In this paper, we introduce a novel 8-point DCT approximation that requires only 14 addition operations and no multiplications. The proposed transform possesses low computational complexity and is compared to state-of-the-art DCT approximations in terms of both algorithm complexity and peak signal-to-noise ratio. The proposed transform and several other DCT approximations are mapped to systolic-array digital architectures and physically realized as digital prototype circuits using FPGA technology and mapped to 45 nm CMOS technology.

 

EXISTING SYSTEM

PROPOSED  SYSTEM

EXISTING CONCEPT :          

·         In existing radix algorithms generally have a regular computational structure, which reduces implementation complexity. However, due to their recursive nature, radix algorithms are difficult to realize pipeline and are not suitable for high-speed applications.

PROPOSED CONCEPT :  

·         The aim of this paper is two-fold. First, we introduce a new DCT approximation that possesses an extremely low arithmetic complexity, requiring only 14 additions. This novel transform was obtained by means of solving a tailored optimization problem aiming at minimizing the transform computational cost.

EXISTING SYSTEM TECHNIQUE:

·         BAS-2008 approximate DCT  (T1)

·         BAS-2011 approximate DCT  (Ta )

·         CB-2011 approximate DCT (T2)

·         Modified CB-2011 approximate DCT (T3)

·         Approximate DCT (T4)

PROPOSED SYSTEM TECHNIQUE:

·         Multiplier-free approximate DCT transforms.

 

TECHNIQUE DEFENITION: 

·         The above techniques are used to find the approximate DCT values of the current inputs with large number of additions.

TECHNIQUE DEFENITION: 

·         In this technique are also find the approximate DCT values of the current inputs with 14 additions only.      

DRAWBACKS:

·         Low area efficient.

·         High power consumption.

·        High computation complexity.

ADVANTAGES:

         Area efficient

         Less computation complexity.

 


 
 
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