In this book, a method is proposed to detect the forgery based upon noise estimation and hog feature extraction on NTSC color image i.e. YIQ color space. The YIQ colorspace is used because it splits the luminance and the color information. For forgery detection, the color information can be discarded as only the variance in the luma component is helpful. The image is first converted to YIQ color space, and then the block segmentation is performed on Y component of the YIQ image. Noise estimation and hog features are extracted from each block of the image. The method used for noise estimation is Principal component analysis (PCA) which estimates the noise as the smallest eigen value of the covariance matrix of the image block. An unsupervised clustering method is used to cluster the blocks of the image based upon noise and hog features combined together. Then, SVM classifier is used for refinement of the clustered blocks. The experimental results show that the proposed technique detects forged images more effectively as compared to previous method which is based only on noise variance estimation.

"About this title" may belong to another edition of this title.

Store Description

We specialise in General Interest Books from South Asian countries.

Visit Seller's Storefront

Seller's business information

BOOKS AND PERIODICALS AGENCY LTD
90 Barnet Gate Lane, Barnet, EN5 2AX, United Kingdom

Sale & Shipping Terms

Terms of Sale

Returns accepted if you are not satisfied with the Service or Book.

Shipping Terms

Best packaging and fast delivery

Shipping rates from United Kingdom to U.S.A.

Shipping rates from United Kingdom to U.S.A.
Order quantity	14 to 45 business days	5 to 10 business days
First item	US$ 8.81	US$ 13.34

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.