ANISOTROPIC STRATEGY TO ACHIEVE THE DECREASE IN BLUR AND IMPROVE IN EDGE INFORMATION

The anisotropic weighting model is made to catch more details in horizontal than vertical directions. The filter-based compensation methodology features a Palladian and spatial sharpening filters that are designed to enhance the edge information and lower the blurring effect. Additionally, the hardware cost was effectively reduced by hardware discussing and reconfigurable design techniques. Within this paper, a minimal-complexity color interpolation formula is suggested for that VLSI implementation in tangible-time applications. The suggested novel formula includes an advantage detector, an anisotropic weighting model along with a filter-based compensator. The VLSI architecture from the suggested design achieves 200 MHz with 5.2 K gate counts, and it is core area synthesized with a CMOS process. In contrast to the prior low-complexity techniques, the work not just reduces gate counts or power consumption, but additionally increases the average CPSNR quality by greater than 1.6 dB. By analyzing the parameters of those three eco-friendly color interpolation models, it's clearly the sign of the compensation for eco-friendly color is really a spatial sharpening filter