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20122017
most citedHierarchical Approach for Total Variation Digital Image Inpainting

5 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2017★ 2 cited

Exploring the significance of using perceptually relevant image decolorization method for scene classification

V. Sowmya, D. Govind, K. P. Soman

A color image contains luminance and chrominance components representing the intensity and color information respectively. The objective of the work presented in this paper is to s…

cs.CV2016★ 1 cited

Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition

Sikha O K, Sachin Kumar S, K P Soman

Visual Saliency is the capability of vision system to select distinctive parts of scene and reduce the amount of visual data that need to be processed. The presentpaper introduces…

cs.CV2012★ 3 cited

Hirarchical Digital Image Inpainting Using Wavelets

S. Padmavathi, B. Priyalakshmi. Dr. K. P. Soman

Inpainting is the technique of reconstructing unknown or damaged portions of an image in a visually plausible way. Inpainting algorithm automatically fills the damaged region in an…

cs.CV2012★ 5 cited

Hierarchical Approach for Total Variation Digital Image Inpainting

S. Padmavathi, N. Archana, K. P. Soman

The art of recovering an image from damage in an undetectable form is known as inpainting. The manual work of inpainting is most often a very time consuming process. Due to digital…

cs.CV2012★ 3 cited

G-Lets: Signal Processing Using Transformation Groups

B. Rajathilagam, Murali Rangarajan, K. P. Soman

We present an algorithm using transformation groups and their irreducible representations to generate an orthogonal basis for a signal in the vector space of the signal. It is show…