FPGA Implementation of an Effective Image Enhancement Algorithm Based on a Novel Daubechies Wavelet Filter Bank

The primary issues in producing natural images are low contrast and poor quality. A novel Daubechies wavelet transform technique is proposed for image enhancement which is implemented in field-programmable gate array (FPGA). The new Daubechies-2 (tap-4) wavelet filter bank is splits the image into high-pass subband image and low-pass subband image. These subbands are enhanced parallely using FPGA architectures of adaptive thresholding and top-hat transform. High-pass subband images are improved by employing FPGA architecture of adaptive thresholding technique. The FPGA architecture of morphology-based top-hat transform is used to improve low-pass subband images. The FPGA architecture of newly designed Daubechies-2 wavelet, adaptive thresholding and morphology based top-hat transform, are implemented in FPGA using XilinX Kintex-7 board. The hardware usage of the proposed technique is compared with that of existing techniques. In addition, PSNR and RMSE are used to assess the extent to which the suggested method performs. Experiments revealed that this technique is excellent at both enhancing an image’s details and effectively preserving its edge features with using less hardware.