Color image sharpening by moment-preserving technique

Developing a similarity index for static camouflaged target detection

“…Although colour images can be transformed into grey images and the image algorithms can be followed, the loss of colour information means that the processing power is limited. [12][13][14] An alternative to the RGB colour spaces is the CIE colour space. The CIE colour space, which is based on the human visual system, offers more precision in colour measurement than the RGB space because the parameters are based on the spectral power distribution of the light emitted from a coloured object, and it is factored by sensitivity curves measured for the human eye.…”

Subpixel edge detection of color images by principal axis analysis and moment-preserving principle

“…Delp and Mitchell [22] first proposed block truncation coding (BTC), which used a two-level moment-preserving quantizer to compress monochrome image. Tabatabai and Mitchell [3] also proposed an operator, which can compute edge location by fitting first three gray-level moments to the input data.…”

“…Gray-level moment-based operators have been successfully developed for image processing [3,5,6,11,[19][20][21][22]. Delp and Mitchell [22] first proposed block truncation coding (BTC), which used a two-level moment-preserving quantizer to compress monochrome image.…”

“…Which equation ((34) or (35)) should be used to compute the value of k is still undetermined because we do not know whether p 1 is larger than p 2 or not. The relationship between p 1 and p 2 can be determined by a pixel counting method [22]. The method is described as follows.…”

“…A new approach to the problem of subpixel color edge detection is proposed in this paper which is based on the principal axis analysis [28] and on the moment-preserving technique [3,5,11,[19][20][21][22]29]. The approach is inspired by the moment-based edge detector [5] which preserved the first three spatial moments for edge detection in monochrome images.…”