Certain investigations on wavelet based sparse for image restoration of woven fabrics

Abstract

International trade in textiles plays an important role in the development process of many countries facilitating their integration in world economy where India also occupies its own position by contribution 17% of total Exports. The heritage started weaving, then came the loom like handloom, power loom etc. A wide spread application of technology is required which upgrade the quality of products; to determine consumer choices, which overcomes disadvantages reducing overhead costs on unsold inventories. The research focuses on the problem which occurs in the weaving pattern of the fabric. The chassis includes different processing image sets under particular constraint resulting in better outcomes. Image restoration is one of the frames used to improve the quality of the pictures. The work concentrates on the restoration of the woven fabrics. Many methods have been proposed for this image revamping technique, with appropriate ambience, which are tested in laboratories for different types of woven fabrics. The Super resolution Thresholding using effective image interpolation by nonlocal autoregressive modeling, using neighboring pixels is proposed. Improved thresholding regularization a combination of sparse with wavelet technique has been executed with different patterns by calculating the PSNR values and computational time which provides good suggestion for weaving technology, to reduce the defects in the process newline